🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
This curated list contains 820 awesome open-source projects with a total of 2.6M stars grouped into 32 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. Contributions are very welcome!
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- 🥇🥈🥉 Combined project-quality score
- ⭐️ Star count from GitHub
- 🐣 New project (less than 6 months old)
- 💤 Inactive project (6 months no activity)
- 💀 Dead project (12 months no activity)
- 📈📉 Project is trending up or down
- ➕ Project was recently added
- ❗️ Warning (e.g. missing/risky license)
- 👨💻 Contributors count from GitHub
- 🔀 Fork count from GitHub
- 📋 Issue count from GitHub
- ⏱️ Last update timestamp on package manager
- 📥 Download count from package manager
- 📦 Number of dependent projects
Tensorflow related project
Sklearn related project
PyTorch related project
MxNet related project
Apache Spark related project
Jupyter related project
PaddlePaddle related project
Pandas related project
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
General-purpose machine learning and deep learning frameworks.
Tensorflow (🥇44 · ⭐ 150K) - An Open Source Machine Learning Framework for Everyone. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
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GitHub (👨💻 3.5K · 🔀 84K · 📦 120K · 📋 30K - 14% open · ⏱️ 12.01.2021):
git clone https://github.com/tensorflow/tensorflow
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PyPi (📥 5.3M / month · 📦 23K · ⏱️ 14.12.2020):
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Conda (📥 2.3M · ⏱️ 15.07.2020):
conda install -c conda-forge tensorflow
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Docker Hub (📥 47M · ⭐ 1.8K · ⏱️ 12.01.2021):
docker pull tensorflow/tensorflow
scikit-learn (🥇41 · ⭐ 44K) - scikit-learn: machine learning in Python. BSD-3
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
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GitHub (👨💻 2.1K · 🔀 21K · 📥 630 · 📦 180K · 📋 8.9K - 26% open · ⏱️ 12.01.2021):
git clone https://github.com/scikit-learn/scikit-learn
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PyPi (📥 10M / month · 📦 38K · ⏱️ 22.12.2020):
-
Conda (📥 6.3M · ⏱️ 22.12.2020):
conda install -c conda-forge scikit-learn
PyTorch (🥇39 · ⭐ 45K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
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GitHub (👨💻 2.5K · 🔀 12K · 📦 58K · 📋 20K - 36% open · ⏱️ 12.01.2021):
git clone https://github.com/pytorch/pytorch
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PyPi (📥 1.7M / month · 📦 6.7K · ⏱️ 10.12.2020):
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Conda (📥 9.7M · ⏱️ 10.12.2020):
conda install -c pytorch pytorch
PySpark (🥇38 · ⭐ 29K) - Apache Spark Python API. Apache-2
![](https://camo.githubusercontent.com/ad9aa9138d8bd3fca3d031f172857bd28a9822869eccb6560909950b9aaf767b/68747470733a2f2f6769742e696f2f4a4c79314e)
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GitHub (👨💻 2.4K · 🔀 23K · 📦 540 · ⏱️ 12.01.2021):
git clone https://github.com/apache/spark
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PyPi (📥 6.6M / month · 📦 760 · ⏱️ 07.09.2020):
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Conda (📥 870K · ⏱️ 07.09.2020):
conda install -c conda-forge pyspark
StatsModels (🥇36 · ⭐ 5.9K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
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GitHub (👨💻 300 · 🔀 2.1K · 📥 25 · 📦 36K · 📋 4.3K - 47% open · ⏱️ 12.01.2021):
git clone https://github.com/statsmodels/statsmodels
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PyPi (📥 1.9M / month · 📦 6.7K · ⏱️ 29.10.2020):
-
Conda (📥 3.1M · ⏱️ 12.01.2021):
conda install -c conda-forge statsmodels
Keras (🥇35 · ⭐ 51K) - Deep Learning for humans. MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
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GitHub (👨💻 900 · 🔀 19K · 📋 10K - 30% open · ⏱️ 11.01.2021):
git clone https://github.com/keras-team/keras
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PyPi (📥 1.9M / month · 📦 15K · ⏱️ 24.06.2020):
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Conda (📥 1.4M · ⏱️ 25.06.2020):
conda install -c conda-forge keras
XGBoost (🥇35 · ⭐ 20K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
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GitHub (👨💻 500 · 🔀 7.9K · 📥 1.9K · 📦 13K · 📋 3.9K - 6% open · ⏱️ 12.01.2021):
git clone https://github.com/dmlc/xgboost
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PyPi (📥 2.5M / month · 📦 1.6K · ⏱️ 09.12.2020):
-
Conda (📥 1.3M · ⏱️ 10.12.2020):
conda install -c conda-forge xgboost
LightGBM (🥇35 · ⭐ 12K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
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GitHub (👨💻 200 · 🔀 3.2K · 📥 85K · 📦 5.3K · 📋 2K - 4% open · ⏱️ 11.01.2021):
git clone https://github.com/microsoft/LightGBM
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PyPi (📥 1.4M / month · 📦 560 · ⏱️ 08.12.2020):
-
Conda (📥 460K · ⏱️ 08.12.2020):
conda install -c conda-forge lightgbm
MXNet (🥈34 · ⭐ 19K) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning.. Apache-2
![](https://camo.githubusercontent.com/f0af627f2b3bbbdfdf76bfd6649e45dc3cdcc25dc96aa53e49a18328fcd6a561/68747470733a2f2f6769742e696f2f4a4c793158)
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GitHub (👨💻 950 · 🔀 6.8K · 📥 23K · 📦 1.7K · 📋 9.4K - 19% open · ⏱️ 12.01.2021):
git clone https://github.com/apache/incubator-mxnet
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PyPi (📥 150K / month · 📦 440 · ⏱️ 28.08.2020):
-
Conda (📥 5.7K · ⏱️ 29.02.2020):
conda install -c anaconda mxnet
Theano (🥈34 · ⭐ 9.3K) - Theano is a Python library that allows you to define, optimize, and.. BSD-3
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GitHub (👨💻 380 · 🔀 2.5K · 📦 10K · 📋 2.8K - 24% open · ⏱️ 05.09.2020):
git clone https://github.com/Theano/Theano
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PyPi (📥 200K / month · 📦 5.5K · ⏱️ 27.07.2020):
-
Conda (📥 1.3M · ⏱️ 01.11.2020):
conda install -c conda-forge theano
pytorch-lightning (🥈33 · ⭐ 11K) - The lightweight PyTorch wrapper for high-performance.. Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
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GitHub (👨💻 360 · 🔀 1.3K · 📥 34 · 📦 1.6K · 📋 2.7K - 12% open · ⏱️ 12.01.2021):
git clone https://github.com/PyTorchLightning/pytorch-lightning
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PyPi (📥 94K / month · 📦 14 · ⏱️ 06.01.2021):
pip install pytorch-lightning
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Conda (📥 14K · ⏱️ 06.01.2021):
conda install -c conda-forge pytorch-lightning
Fastai (🥈32 · ⭐ 20K) - The fastai deep learning library. Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
jax (🥈32 · ⭐ 11K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
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GitHub (👨💻 240 · 🔀 930 · 📦 980 · 📋 2.1K - 34% open · ⏱️ 12.01.2021):
git clone https://github.com/google/jax
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PyPi (📥 84K / month · 📦 46 · ⏱️ 12.01.2021):
-
Conda (📥 67K · ⏱️ 14.10.2020):
conda install -c conda-forge jaxlib
Thinc (🥈32 · ⭐ 2.1K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT
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GitHub (👨💻 36 · 🔀 200 · 📦 11K · 📋 98 - 17% open · ⏱️ 05.01.2021):
git clone https://github.com/explosion/thinc
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PyPi (📥 830K / month · 📦 1.1K · ⏱️ 16.12.2020):
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Conda (📥 840K · ⏱️ 18.12.2020):
conda install -c conda-forge thinc
Catboost (🥈31 · ⭐ 5.6K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
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GitHub (👨💻 720 · 🔀 860 · 📥 47K · 📋 1.3K - 22% open · ⏱️ 12.01.2021):
git clone https://github.com/catboost/catboost
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PyPi (📥 760K / month · 📦 160 · ⏱️ 27.12.2020):
-
Conda (📥 550K · ⏱️ 29.12.2020):
conda install -c conda-forge catboost
Chainer (🥈31 · ⭐ 5.5K) - A flexible framework of neural networks for deep learning. MIT
TFlearn (🥈30 · ⭐ 9.5K) - Deep learning library featuring a higher-level API for TensorFlow. MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
Vowpal Wabbit (🥈30 · ⭐ 7.4K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
PaddlePaddle (🥈29 · ⭐ 14K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2
![](https://camo.githubusercontent.com/9d8bc42e3f1d9611b2d51d2ad22846e139e5e3e1187cf42612a5cb6ae2d389ff/68747470733a2f2f6769742e696f2f4a4c79314d)
Turi Create (🥈29 · ⭐ 10K) - Turi Create simplifies the development of custom machine learning.. BSD-3
tensorpack (🥈29 · ⭐ 5.9K) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
Sonnet (🥉28 · ⭐ 8.7K) - TensorFlow-based neural network library. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
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GitHub (👨💻 48 · 🔀 1.2K · 📦 480 · 📋 150 - 10% open · ⏱️ 08.10.2020):
git clone https://github.com/deepmind/sonnet
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PyPi (📥 59K / month · 📦 82 · ⏱️ 27.03.2020):
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Conda (📥 6.9K · ⏱️ 14.11.2020):
conda install -c conda-forge sonnet
Flax (🥉28 · ⭐ 1.4K) - Flax is a neural network ecosystem for JAX that is designed for.. Apache-2
jax
CNTK (🥉27 · ⭐ 17K · 💤) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT
skorch (🥉27 · ⭐ 3.7K) - A scikit-learn compatible neural network library that wraps.. BSD-3
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
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GitHub (👨💻 39 · 🔀 270 · 📦 250 · 📋 360 - 13% open · ⏱️ 25.12.2020):
git clone https://github.com/skorch-dev/skorch
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PyPi (📥 6.2K / month · 📦 13 · ⏱️ 30.08.2020):
-
Conda (📥 160K · ⏱️ 19.09.2020):
conda install -c conda-forge skorch
Ignite (🥉27 · ⭐ 3.2K) - High-level library to help with training and evaluating neural.. BSD-3
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
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GitHub (👨💻 120 · 🔀 400 · 📦 690 · 📋 680 - 14% open · ⏱️ 11.01.2021):
git clone https://github.com/pytorch/ignite
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PyPi (📥 31K / month · 📦 62 · ⏱️ 12.01.2021):
pip install pytorch-ignite
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Conda (📥 51K · ⏱️ 20.09.2020):
conda install -c pytorch ignite
dyNET (🥉27 · ⭐ 3.2K) - DyNet: The Dynamic Neural Network Toolkit. Apache-2
Ludwig (🥉26 · ⭐ 7.4K) - Ludwig is a toolbox that allows to train and evaluate deep.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
mlpack (🥉26 · ⭐ 3.5K) - mlpack: a scalable C++ machine learning library --. BSD-3
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GitHub (👨💻 260 · 🔀 1.3K · 📋 1.3K - 11% open · ⏱️ 12.01.2021):
git clone https://github.com/mlpack/mlpack
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PyPi (📥 240 / month · ⏱️ 28.10.2020):
-
Conda (📥 62K · ⏱️ 29.10.2020):
conda install -c conda-forge mlpack
Neural Network Libraries (🥉25 · ⭐ 2.4K) - Neural Network Libraries. Apache-2
tensorflow-upstream (🥉25 · ⭐ 530 · ➕) - TensorFlow ROCm port. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
einops (🥉24 · ⭐ 2.1K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT
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GitHub (👨💻 10 · 🔀 68 · 📦 180 · 📋 61 - 36% open · ⏱️ 09.01.2021):
git clone https://github.com/arogozhnikov/einops
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PyPi (📥 11K / month · 📦 10 · ⏱️ 08.09.2020):
-
Conda (📥 3.5K · ⏱️ 15.10.2020):
conda install -c conda-forge einops
ktrain (🥉24 · ⭐ 710) - ktrain is a Python library that makes deep learning and AI more.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
xLearn (🥉23 · ⭐ 2.8K · 💤) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2
SHOGUN (🥉23 · ⭐ 2.8K) - Unified and efficient Machine Learning. BSD-3
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GitHub (👨💻 250 · 🔀 1K · 📋 1.6K - 33% open · ⏱️ 08.12.2020):
git clone https://github.com/shogun-toolbox/shogun
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Conda (📥 90K · ⏱️ 25.06.2018):
conda install -c conda-forge shogun
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Docker Hub (📥 1.4K · ⭐ 1 · ⏱️ 31.01.2019):
docker pull shogun/shogun
fklearn (🥉22 · ⭐ 1.3K · ➕) - fklearn: Functional Machine Learning. Apache-2
mace (🥉21 · ⭐ 4.3K) - MACE is a deep learning inference framework optimized for mobile.. Apache-2
Neural Tangents (🥉21 · ⭐ 1.3K) - Fast and Easy Infinite Neural Networks in Python. Apache-2
ThunderSVM (🥉20 · ⭐ 1.3K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
Haiku (🥉20 · ⭐ 900) - JAX-based neural network library. Apache-2
Torchbearer (🥉18 · ⭐ 580 · 💤) - torchbearer: A model fitting library for PyTorch. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
ThunderGBM (🥉16 · ⭐ 580) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
NeoML (🥉13 · ⭐ 550) - Machine learning framework for both deep learning and traditional.. Apache-2
Show 8 hidden projects...
- dlib (🥈33 · ⭐ 9.8K) - A toolkit for making real world machine learning and data analysis..
❗️BSL-1.0
- NuPIC (🥉25 · ⭐ 6.2K · 💀) - Numenta Platform for Intelligent Computing is an implementation..
❗️AGPL-3.0
- Lasagne (🥉24 · ⭐ 3.8K · 💀) - Lightweight library to build and train neural networks in Theano.
MIT
- neon (🥉23 · ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best..
Apache-2
- MindsDB (🥉20 · ⭐ 3.1K) - Predictive AI layer for existing databases.
❗️GPL-3.0
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
- NeuPy (🥉20 · ⭐ 660 · 💀) - NeuPy is a Tensorflow based python library for prototyping and building..
MIT
- elegy (🥉16 · ⭐ 150) - Elegy is a Neural Networks framework based on Jax and inspired..
Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
jax
- StarSpace (🥉13 · ⭐ 3.5K · 💀) - Learning embeddings for classification, retrieval and ranking.
MIT
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
General-purpose and task-specific data visualization libraries.
Matplotlib (🥇41 · ⭐ 13K · 📈) - matplotlib: plotting with Python. Python-2.0
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GitHub (👨💻 1.2K · 🔀 5.6K · 📦 310K · 📋 7.6K - 21% open · ⏱️ 12.01.2021):
git clone https://github.com/matplotlib/matplotlib
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PyPi (📥 9.2M / month · 📦 79K · ⏱️ 12.11.2020):
-
Conda (📥 7.7M · ⏱️ 18.11.2020):
conda install -c conda-forge matplotlib
Plotly (🥇35 · ⭐ 8.6K) - The interactive graphing library for Python (includes Plotly Express). MIT
-
GitHub (👨💻 160 · 🔀 1.7K · 📦 5 · 📋 1.8K - 42% open · ⏱️ 12.01.2021):
git clone https://github.com/plotly/plotly.py
-
PyPi (📥 2.7M / month · 📦 5K · ⏱️ 12.01.2021):
-
Conda (📥 1.1M · ⏱️ 12.01.2021):
conda install -c conda-forge plotly
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NPM (📥 26K / month · 📦 4 · ⏱️ 12.01.2021):
Seaborn (🥇35 · ⭐ 8K) - Statistical data visualization using matplotlib. BSD-3
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GitHub (👨💻 140 · 🔀 1.4K · 📥 110 · 📦 77K · 📋 1.7K - 4% open · ⏱️ 10.01.2021):
git clone https://github.com/mwaskom/seaborn
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PyPi (📥 1.9M / month · 📦 13K · ⏱️ 20.12.2020):
-
Conda (📥 1.9M · ⏱️ 21.12.2020):
conda install -c conda-forge seaborn
dash (🥇34 · ⭐ 14K) - Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required. MIT
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GitHub (👨💻 70 · 🔀 1.4K · 📦 16K · 📋 950 - 42% open · ⏱️ 07.01.2021):
git clone https://github.com/plotly/dash
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PyPi (📥 220K / month · 📦 1.6K · ⏱️ 09.12.2020):
-
Conda (📥 210K · ⏱️ 11.12.2020):
conda install -c conda-forge dash
Bokeh (🥇33 · ⭐ 15K) - Interactive Data Visualization in the browser, from Python. BSD-3
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GitHub (👨💻 540 · 🔀 3.6K · 📦 30K · 📋 6.3K - 9% open · ⏱️ 11.01.2021):
git clone https://github.com/bokeh/bokeh
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PyPi (📥 1M / month · 📦 5.9K · ⏱️ 11.01.2021):
-
Conda (📥 3.6M · ⏱️ 23.11.2020):
conda install -c conda-forge bokeh
pyecharts (🥈31 · ⭐ 10K) - Python Echarts Plotting Library. MIT
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
wordcloud (🥈31 · ⭐ 7.8K) - A little word cloud generator in Python. MIT
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GitHub (👨💻 58 · 🔀 2K · 📦 8.4K · 📋 430 - 20% open · ⏱️ 11.11.2020):
git clone https://github.com/amueller/word_cloud
-
PyPi (📥 230K / month · 📦 1.1K · ⏱️ 11.11.2020):
-
Conda (📥 180K · ⏱️ 16.11.2020):
conda install -c conda-forge wordcloud
Altair (🥈31 · ⭐ 6.3K) - Declarative statistical visualization library for Python. BSD-3
-
GitHub (👨💻 120 · 🔀 560 · 📦 7.2K · 📋 1.5K - 18% open · ⏱️ 12.01.2021):
git clone https://github.com/altair-viz/altair
-
PyPi (📥 650K / month · 📦 370 · ⏱️ 01.04.2020):
-
Conda (📥 580K · ⏱️ 01.04.2020):
conda install -c conda-forge altair
bqplot (🥈30 · ⭐ 3K) - Plotting library for IPython/Jupyter notebooks. Apache-2
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
-
GitHub (👨💻 51 · 🔀 400 · 📦 1.2K · 📋 500 - 37% open · ⏱️ 08.01.2021):
git clone https://github.com/bqplot/bqplot
-
PyPi (📥 11K / month · 📦 110 · ⏱️ 08.01.2021):
-
Conda (📥 450K · ⏱️ 08.01.2021):
conda install -c conda-forge bqplot
-
NPM (📥 120K / month · 📦 10 · ⏱️ 05.11.2020):
pandas-profiling (🥈29 · ⭐ 6.6K) - Create HTML profiling reports from pandas DataFrame.. MIT
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
![](https://camo.githubusercontent.com/6e52e7cbf423c1044ceafbf4045895d00974de2025bb8aaec1c432a085c052d4/68747470733a2f2f6769742e696f2f4a4c793153)
-
GitHub (👨💻 65 · 🔀 980 · 📦 2.8K · 📋 410 - 13% open · ⏱️ 12.01.2021):
git clone https://github.com/pandas-profiling/pandas-profiling
-
PyPi (📥 200K / month · 📦 160 · ⏱️ 03.09.2020):
pip install pandas-profiling
-
Conda (📥 96K · ⏱️ 09.01.2021):
conda install -c conda-forge pandas-profiling
UMAP (🥈29 · ⭐ 4.4K · 📈) - Uniform Manifold Approximation and Projection. BSD-3
PyQtGraph (🥈29 · ⭐ 2.3K) - Fast data visualization and GUI tools for scientific / engineering.. MIT
-
GitHub (👨💻 180 · 🔀 790 · 📋 720 - 39% open · ⏱️ 06.01.2021):
git clone https://github.com/pyqtgraph/pyqtgraph
-
PyPi (📥 27K / month · 📦 890 · ⏱️ 20.12.2020):
-
Conda (📥 160K · ⏱️ 20.12.2020):
conda install -c conda-forge pyqtgraph
HoloViews (🥈29 · ⭐ 1.8K) - With Holoviews, your data visualizes itself. BSD-3
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
-
GitHub (👨💻 100 · 🔀 300 · 📋 2.5K - 27% open · ⏱️ 12.01.2021):
git clone https://github.com/holoviz/holoviews
-
PyPi (📥 85K / month · 📦 170 · ⏱️ 27.12.2020):
-
Conda (📥 400K · ⏱️ 28.12.2020):
conda install -c conda-forge holoviews
-
NPM (📥 5.7K / month · ⏱️ 24.05.2020):
npm install @pyviz/jupyterlab_pyviz
Graphviz (🥈29 · ⭐ 890) - Simple Python interface for Graphviz. MIT
VisPy (🥈28 · ⭐ 2.6K) - High-performance interactive 2D/3D data visualization library. BSD-3
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
-
GitHub (👨💻 140 · 🔀 540 · 📦 440 · 📋 1.1K - 31% open · ⏱️ 28.11.2020):
git clone https://github.com/vispy/vispy
-
PyPi (📥 13K / month · 📦 120 · ⏱️ 28.11.2020):
-
Conda (📥 120K · ⏱️ 28.11.2020):
conda install -c conda-forge vispy
-
NPM (📥 130 / month · ⏱️ 15.03.2020):
datashader (🥈28 · ⭐ 2.4K) - Quickly and accurately render even the largest data. BSD-3
-
GitHub (👨💻 43 · 🔀 310 · 📦 550 · 📋 460 - 31% open · ⏱️ 07.01.2021):
git clone https://github.com/holoviz/datashader
-
PyPi (📥 11K / month · 📦 70 · ⏱️ 07.01.2021):
-
Conda (📥 130K · ⏱️ 08.01.2021):
conda install -c conda-forge datashader
missingno (🥈27 · ⭐ 2.6K) - Missing data visualization module for Python. MIT
-
GitHub (👨💻 15 · 🔀 330 · 📦 2.6K · 📋 100 - 14% open · ⏱️ 28.12.2020):
git clone https://github.com/ResidentMario/missingno
-
PyPi (📥 170K / month · 📦 76 · ⏱️ 29.06.2018):
-
Conda (📥 68K · ⏱️ 15.02.2020):
conda install -c conda-forge missingno
data-validation (🥈27 · ⭐ 500 · ➕) - Library for exploring and validating machine learning.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
Perspective (🥉26 · ⭐ 3.1K) - Streaming pivot visualization via WebAssembly. Apache-2
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
-
GitHub (👨💻 61 · 🔀 340 · 📦 160 · 📋 370 - 19% open · ⏱️ 08.01.2021):
git clone https://github.com/finos/perspective
-
PyPi (📥 460 / month · 📦 4 · ⏱️ 15.10.2020):
pip install perspective-python
-
NPM (📥 940 / month · ⏱️ 08.01.2021):
npm install @finos/perspective-jupyterlab
Cufflinks (🥉26 · ⭐ 2K) - Productivity Tools for Plotly + Pandas. MIT
![](https://camo.githubusercontent.com/6e52e7cbf423c1044ceafbf4045895d00974de2025bb8aaec1c432a085c052d4/68747470733a2f2f6769742e696f2f4a4c793153)
PyVista (🥉26 · ⭐ 650) - 3D plotting and mesh analysis through a streamlined interface for the.. MIT
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
-
GitHub (👨💻 48 · 🔀 130 · 📥 37 · 📦 230 · 📋 380 - 30% open · ⏱️ 11.01.2021):
git clone https://github.com/pyvista/pyvista
-
PyPi (📥 7.4K / month · 📦 26 · ⏱️ 10.12.2020):
-
Conda (📥 53K · ⏱️ 10.12.2020):
conda install -c conda-forge pyvista
HyperTools (🥉25 · ⭐ 1.6K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT
hvPlot (🥉25 · ⭐ 330) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3
-
GitHub (👨💻 22 · 🔀 49 · 📦 420 · 📋 310 - 31% open · ⏱️ 06.01.2021):
git clone https://github.com/holoviz/hvplot
-
PyPi (📥 45K / month · 📦 15 · ⏱️ 02.06.2020):
-
Conda (📥 57K · ⏱️ 06.01.2021):
conda install -c conda-forge hvplot
Chartify (🥉24 · ⭐ 2.8K) - Python library that makes it easy for data scientists to create.. Apache-2
-
GitHub (👨💻 19 · 🔀 250 · 📦 52 · 📋 70 - 57% open · ⏱️ 02.11.2020):
git clone https://github.com/spotify/chartify
-
PyPi (📥 5.6K / month · 📦 5 · ⏱️ 02.11.2020):
-
Conda (📥 12K · ⏱️ 07.11.2020):
conda install -c conda-forge chartify
pythreejs (🥉24 · ⭐ 700) - A Jupyter - Three.js bridge. BSD-3
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
-
GitHub (👨💻 24 · 🔀 160 · 📦 15 · 📋 200 - 30% open · ⏱️ 09.10.2020):
git clone https://github.com/jupyter-widgets/pythreejs
-
PyPi (📥 5.8K / month · 📦 13 · ⏱️ 09.10.2020):
-
Conda (📥 260K · ⏱️ 12.10.2020):
conda install -c conda-forge pythreejs
-
NPM (📥 4.1K / month · 📦 8 · ⏱️ 19.03.2020):
npm install jupyter-threejs
Facets Overview (🥉23 · ⭐ 6.5K) - Visualizations for machine learning datasets. Apache-2
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
Multicore-TSNE (🥉23 · ⭐ 1.5K · ➕) - Parallel t-SNE implementation with Python and Torch.. BSD-3
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
-
GitHub (👨💻 15 · 🔀 190 · 📦 200 · 📋 53 - 62% open · ⏱️ 19.08.2020):
git clone https://github.com/DmitryUlyanov/Multicore-TSNE
-
PyPi (📥 2.9K / month · 📦 14 · ⏱️ 08.11.2017):
pip install MulticoreTSNE
-
Conda (📥 5.8K · ⏱️ 12.11.2018):
conda install -c conda-forge multicore-tsne
openTSNE (🥉23 · ⭐ 740) - Extensible, parallel implementations of t-SNE. BSD-3
-
GitHub (👨💻 10 · 🔀 82 · 📦 170 · 📋 71 - 4% open · ⏱️ 08.01.2021):
git clone https://github.com/pavlin-policar/openTSNE
-
PyPi (📥 8.9K / month · 📦 4 · ⏱️ 08.01.2021):
-
Conda (📥 73K · ⏱️ 08.01.2021):
conda install -c conda-forge opentsne
PandasGUI (🥉22 · ⭐ 2K) - A GUI for Pandas DataFrames. MIT
![](https://camo.githubusercontent.com/6e52e7cbf423c1044ceafbf4045895d00974de2025bb8aaec1c432a085c052d4/68747470733a2f2f6769742e696f2f4a4c793153)
Pandas-Bokeh (🥉22 · ⭐ 600) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT
![](https://camo.githubusercontent.com/6e52e7cbf423c1044ceafbf4045895d00974de2025bb8aaec1c432a085c052d4/68747470733a2f2f6769742e696f2f4a4c793153)
python-ternary (🥉22 · ⭐ 380 · ➕) - Ternary plotting library for python with matplotlib. MIT
-
GitHub (👨💻 25 · 🔀 110 · 📥 14 · 📦 50 · 📋 100 - 23% open · ⏱️ 05.01.2021):
git clone https://github.com/marcharper/python-ternary
-
PyPi (📥 1K / month · 📦 10 · ⏱️ 10.05.2020):
pip install python-ternary
-
Conda (📥 47K · ⏱️ 10.05.2020):
conda install -c conda-forge python-ternary
vega (🥉22 · ⭐ 290) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
-
GitHub (👨💻 9 · 🔀 46 · 📋 87 - 9% open · ⏱️ 11.01.2021):
git clone https://github.com/vega/ipyvega
-
PyPi (📥 6K / month · 📦 150 · ⏱️ 15.05.2020):
-
Conda (📥 370K · ⏱️ 10.12.2020):
conda install -c conda-forge vega
joypy (🥉21 · ⭐ 310 · ➕) - Joyplots in Python with matplotlib & pandas. MIT
-
GitHub (👨💻 5 · 🔀 32 · 📦 61 · 📋 38 - 10% open · ⏱️ 28.12.2020):
git clone https://github.com/sbebo/joypy
-
PyPi (📥 3.2K / month · 📦 6 · ⏱️ 28.12.2020):
-
Conda (📥 7.8K · ⏱️ 28.12.2020):
conda install -c conda-forge joypy
HiPlot (🥉19 · ⭐ 1.9K) - HiPlot makes understanding high dimensional data easy. MIT
-
GitHub (👨💻 6 · 🔀 88 · 📦 2 · 📋 47 - 12% open · ⏱️ 11.01.2021):
git clone https://github.com/facebookresearch/hiplot
-
PyPi (📥 2K / month · ⏱️ 23.12.2020):
-
Conda (📥 41K · ⏱️ 23.12.2020):
conda install -c conda-forge hiplot
Sweetviz (🥉19 · ⭐ 1.2K) - Visualize and compare datasets, target values and associations, with one.. MIT
lets-plot (🥉19 · ⭐ 470 · ➕) - An open-source plotting library for statistical data. MIT
animatplot (🥉19 · ⭐ 350 · ➕) - A python package for animating plots build on matplotlib. MIT
-
GitHub (👨💻 7 · 🔀 33 · 📦 14 · 📋 31 - 51% open · ⏱️ 05.10.2020):
git clone https://github.com/t-makaro/animatplot
-
PyPi (📥 100 / month · 📦 1 · ⏱️ 05.10.2020):
-
Conda (📥 5K · ⏱️ 06.10.2020):
conda install -c conda-forge animatplot
AutoViz (🥉19 · ⭐ 280) - Automatically Visualize any dataset, any size with a single line of.. Apache-2
PyWaffle (🥉18 · ⭐ 380) - Make Waffle Charts in Python. MIT
nx-altair (🥉13 · ⭐ 150 · 💤) - Draw interactive NetworkX graphs with Altair. MIT
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
Show 6 hidden projects...
- plotnine (🥈28 · ⭐ 2.5K · ➕) - A grammar of graphics for Python.
❗️GPL-2.0
- PDPbox (🥉22 · ⭐ 520 · 💀) - python partial dependence plot toolbox.
MIT
- pivottablejs (🥉19 · ⭐ 410 · 💀) - Dragndrop Pivot Tables and Charts for Jupyter/IPython..
MIT
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
- ivis (🥉18 · ⭐ 220 · ➕) - Dimensionality reduction in very large datasets using Siamese..
❗️GPL-2.0
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
- pdvega (🥉16 · ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite.
MIT
- nptsne (🥉14 · ⭐ 24) - nptsne is a numpy compatible python binary package that offers a number..
Apache-2
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
Libraries for processing, cleaning, manipulating, and analyzing text data as well as libraries for NLP tasks such as language detection, fuzzy matching, classification, seq2seq learning, conversational AI, keyword extraction, and translation.
spaCy (🥇37 · ⭐ 18K) - Industrial-strength Natural Language Processing (NLP) with Python and Cython. MIT
-
GitHub (👨💻 540 · 🔀 3.2K · 📥 2.9K · 📦 20K · 📋 4.2K - 2% open · ⏱️ 08.01.2021):
git clone https://github.com/explosion/spaCy
-
PyPi (📥 880K / month · 📦 3.1K · ⏱️ 11.12.2020):
-
Conda (📥 1.4M · ⏱️ 18.12.2020):
conda install -c conda-forge spacy
transformers (🥇36 · ⭐ 39K) - Transformers: State-of-the-art Natural Language.. Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
-
GitHub (👨💻 750 · 🔀 9.6K · 📥 1.2K · 📦 6.8K · 📋 5.6K - 9% open · ⏱️ 12.01.2021):
git clone https://github.com/huggingface/transformers
-
PyPi (📥 670K / month · 📦 130 · ⏱️ 17.12.2020):
-
Conda (📥 14K · ⏱️ 19.12.2020):
conda install -c conda-forge transformers
nltk (🥇34 · ⭐ 9.5K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
-
GitHub (👨💻 390 · 🔀 2.4K · 📦 86K · 📋 1.5K - 16% open · ⏱️ 02.01.2021):
git clone https://github.com/nltk/nltk
-
PyPi (📥 4.6M / month · 📦 21K · ⏱️ 12.04.2020):
-
Conda (📥 610K · ⏱️ 08.08.2019):
conda install -c conda-forge nltk
Rasa (🥇32 · ⭐ 11K) - Open source machine learning framework to automate text- and voice-.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
fairseq (🥇31 · ⭐ 11K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
ChatterBot (🥇31 · ⭐ 11K) - ChatterBot is a machine learning, conversational dialog engine for.. BSD-3
sentencepiece (🥇31 · ⭐ 4.7K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
-
GitHub (👨💻 48 · 🔀 630 · 📥 9.5K · 📦 5.3K · 📋 410 - 5% open · ⏱️ 12.01.2021):
git clone https://github.com/google/sentencepiece
-
PyPi (📥 1M / month · 📦 240 · ⏱️ 10.01.2021):
pip install sentencepiece
-
Conda (📥 22K · ⏱️ 08.01.2021):
conda install -c conda-forge sentencepiece
flair (🥇30 · ⭐ 9.8K) - A very simple framework for state-of-the-art Natural Language.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
torchtext (🥇30 · ⭐ 2.6K) - Data loaders and abstractions for text and NLP. BSD-3
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
fastText (🥈29 · ⭐ 22K) - Library for fast text representation and classification. MIT
-
GitHub (👨💻 58 · 🔀 4.2K · 📦 1.4K · 📋 990 - 40% open · ⏱️ 18.07.2020):
git clone https://github.com/facebookresearch/fastText
-
PyPi (📥 110K / month · 📦 190 · ⏱️ 28.04.2020):
-
Conda (📥 17K · ⏱️ 12.10.2020):
conda install -c conda-forge fasttext
AllenNLP (🥈29 · ⭐ 9.6K) - An open-source NLP research library, built on PyTorch. Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
TextBlob (🥈29 · ⭐ 7.5K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT
-
GitHub (👨💻 33 · 🔀 950 · 📥 88 · 📦 9.8K · 📋 220 - 31% open · ⏱️ 11.01.2021):
git clone https://github.com/sloria/TextBlob
-
PyPi (📥 250K / month · 📦 2.5K · ⏱️ 24.02.2019):
-
Conda (📥 110K · ⏱️ 24.02.2019):
conda install -c conda-forge textblob
snowballstemmer (🥈29 · ⭐ 460 · ➕) - Snowball compiler and stemming algorithms. BSD-3
-
GitHub (👨💻 24 · 🔀 130 · 📦 42K · 📋 61 - 31% open · ⏱️ 23.11.2020):
git clone https://github.com/snowballstem/snowball
-
PyPi (📥 2.3M / month · 📦 13K · ⏱️ 03.10.2019):
pip install snowballstemmer
-
Conda (📥 1.9M · ⏱️ 03.10.2019):
conda install -c conda-forge snowballstemmer
Dedupe (🥈28 · ⭐ 2.9K) - A python library for accurate and scalable fuzzy matching, record.. MIT
phonenumbers (🥈28 · ⭐ 2.6K) - Python port of Google's libphonenumber. Apache-2
-
GitHub (👨💻 22 · 🔀 320 · 📋 110 - 2% open · ⏱️ 12.01.2021):
git clone https://github.com/daviddrysdale/python-phonenumbers
-
PyPi (📥 710K / month · 📦 2.3K · ⏱️ 12.01.2021):
-
Conda (📥 370K · ⏱️ 04.08.2019):
conda install -c conda-forge phonenumbers
inflect (🥈28 · ⭐ 470) - Correctly generate plurals, ordinals, indefinite articles; convert numbers.. MIT
-
GitHub (👨💻 25 · 🔀 57 · 📋 71 - 18% open · ⏱️ 15.11.2020):
git clone https://github.com/jaraco/inflect
-
PyPi (📥 890K / month · 📦 1.4K · ⏱️ 15.11.2020):
-
Conda (📥 120K · ⏱️ 08.01.2021):
conda install -c conda-forge inflect
OpenNMT (🥈27 · ⭐ 4.8K) - Open Source Neural Machine Translation in PyTorch. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Tokenizers (🥈27 · ⭐ 4.2K · 📉) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
-
GitHub (👨💻 40 · 🔀 300 · 📦 22 · 📋 370 - 21% open · ⏱️ 12.01.2021):
git clone https://github.com/huggingface/tokenizers
-
PyPi (📥 870K / month · ⏱️ 08.12.2020):
-
Conda (📥 17K · ⏱️ 19.11.2020):
conda install -c conda-forge tokenizers
GluonNLP (🥈27 · ⭐ 2.2K) - Toolkit that enables easy text preprocessing, datasets loading.. Apache-2
![](https://camo.githubusercontent.com/f0af627f2b3bbbdfdf76bfd6649e45dc3cdcc25dc96aa53e49a18328fcd6a561/68747470733a2f2f6769742e696f2f4a4c793158)
textacy (🥈27 · ⭐ 1.6K) - NLP, before and after spaCy. Apache-2
-
GitHub (👨💻 29 · 🔀 210 · 📋 220 - 13% open · ⏱️ 09.01.2021):
git clone https://github.com/chartbeat-labs/textacy
-
PyPi (📥 20K / month · 📦 77 · ⏱️ 29.08.2020):
-
Conda (📥 74K · ⏱️ 19.11.2020):
conda install -c conda-forge textacy
DeepPavlov (🥈26 · ⭐ 4.9K) - An open source library for deep learning end-to-end dialog.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
Jina (🥈26 · ⭐ 1.8K) - An easier way to build neural search in the cloud. Apache-2
-
GitHub (👨💻 81 · 🔀 320 · 📦 45 · 📋 580 - 7% open · ⏱️ 12.01.2021):
git clone https://github.com/jina-ai/jina
-
PyPi (📥 1.7K / month · ⏱️ 12.01.2021):
-
Docker Hub (📥 70K · ⏱️ 12.01.2021):
TensorFlow Text (🥈26 · ⭐ 680) - Making text a first-class citizen in TensorFlow. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
ftfy (🥈25 · ⭐ 2.9K) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT
-
GitHub (👨💻 17 · 🔀 98 · 📦 2.6K · 📋 110 - 13% open · ⏱️ 17.07.2020):
git clone https://github.com/LuminosoInsight/python-ftfy
-
PyPi (📥 260K / month · 📦 760 · ⏱️ 20.07.2020):
-
Conda (📥 94K · ⏱️ 03.02.2019):
conda install -c conda-forge ftfy
vaderSentiment (🥈25 · ⭐ 2.7K · 💤) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
TextDistance (🥈25 · ⭐ 1.9K · 💤) - Compute distance between sequences. 30+ algorithms, pure.. MIT
-
GitHub (👨💻 7 · 🔀 160 · 📥 96 · 📦 290 · ⏱️ 13.04.2020):
git clone https://github.com/life4/textdistance
-
PyPi (📥 97K / month · 📦 28 · ⏱️ 13.04.2020):
-
Conda (📥 16K · ⏱️ 10.11.2020):
conda install -c conda-forge textdistance
spark-nlp (🥈25 · ⭐ 1.8K) - State of the Art Natural Language Processing. Apache-2
![](https://camo.githubusercontent.com/ad9aa9138d8bd3fca3d031f172857bd28a9822869eccb6560909950b9aaf767b/68747470733a2f2f6769742e696f2f4a4c79314e)
jellyfish (🥈25 · ⭐ 1.4K) - a python library for doing approximate and phonetic matching of.. BSD-2
-
GitHub (👨💻 20 · 🔀 120 · 📦 2K · 📋 95 - 9% open · ⏱️ 30.12.2020):
git clone https://github.com/jamesturk/jellyfish
-
PyPi (📥 760K / month · 📦 650 · ⏱️ 21.05.2020):
-
Conda (📥 110K · ⏱️ 08.01.2021):
conda install -c conda-forge jellyfish
haystack (🥈25 · ⭐ 1.2K) - Transformers at scale for question answering & neural search. Using.. Apache-2
ParlAI (🥈24 · ⭐ 6.9K) - A framework for training and evaluating AI models on a variety of.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
PyText (🥈24 · ⭐ 6.1K) - A natural language modeling framework based on PyTorch. BSD-3
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
stanza (🥈24 · ⭐ 5.1K) - Official Stanford NLP Python Library for Many Human Languages. Apache-2
-
GitHub (👨💻 28 · 🔀 630 · 📋 430 - 12% open · ⏱️ 12.01.2021):
git clone https://github.com/stanfordnlp/stanza
-
PyPi (📥 12K / month · 📦 2 · ⏱️ 13.08.2020):
-
Conda (📥 3K · ⏱️ 13.08.2020):
conda install -c stanfordnlp stanza
T5 (🥈24 · ⭐ 3.1K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
Sumy (🥈24 · ⭐ 2.5K) - Module for automatic summarization of text documents and HTML pages. Apache-2
fastNLP (🥈24 · ⭐ 2K · 📉) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2
PyTextRank (🥈24 · ⭐ 1.4K) - Python implementation of TextRank for phrase extraction and.. MIT
CLTK (🥈24 · ⭐ 630 · 📉) - The Classical Language Toolkit. MIT
pyahocorasick (🥈24 · ⭐ 570) - Python module (C extension and plain python) implementing Aho-.. BSD-3
-
GitHub (👨💻 20 · 🔀 86 · 📦 470 · 📋 96 - 32% open · ⏱️ 12.01.2021):
git clone https://github.com/WojciechMula/pyahocorasick
-
PyPi (📥 94K / month · 📦 64 · ⏱️ 14.01.2019):
pip install pyahocorasick
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Conda (📥 110K · ⏱️ 13.10.2020):
conda install -c conda-forge pyahocorasick
Ciphey (🥉23 · ⭐ 6.1K) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT
-
GitHub (👨💻 38 · 🔀 330 · 📋 220 - 20% open · ⏱️ 02.01.2021):
git clone https://github.com/Ciphey/Ciphey
-
PyPi (📥 4.5K / month · ⏱️ 02.12.2020):
-
Docker Hub (📥 7.2K · ⭐ 1 · ⏱️ 17.12.2020):
docker pull remnux/ciphey
flashtext (🥉23 · ⭐ 4.6K · 💤) - Extract Keywords from sentence or Replace keywords in sentences. MIT
textgenrnn (🥉23 · ⭐ 4.2K) - Easily train your own text-generating neural network of any size.. MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
neuralcoref (🥉23 · ⭐ 2.2K) - Fast Coreference Resolution in spaCy with Neural Networks. MIT
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GitHub (👨💻 20 · 🔀 380 · 📥 160 · 📦 270 · 📋 250 - 15% open · ⏱️ 29.12.2020):
git clone https://github.com/huggingface/neuralcoref
-
PyPi (📥 3K / month · 📦 9 · ⏱️ 08.04.2019):
-
Conda (📥 5.6K · ⏱️ 21.02.2020):
conda install -c conda-forge neuralcoref
sense2vec (🥉23 · ⭐ 1.1K · 💤) - Contextually-keyed word vectors. MIT
-
GitHub (👨💻 14 · 🔀 200 · 📥 12K · 📦 48 · 📋 93 - 16% open · ⏱️ 29.05.2020):
git clone https://github.com/explosion/sense2vec
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PyPi (📥 2.5K / month · 📦 6 · ⏱️ 22.11.2019):
-
Conda (📥 14K · ⏱️ 16.03.2020):
conda install -c conda-forge sense2vec
spacy-transformers (🥉23 · ⭐ 860) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT
spacy
SciSpacy (🥉23 · ⭐ 770) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2
pySBD (🥉23 · ⭐ 250) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
Snips NLU (🥉22 · ⭐ 3.4K · 💤) - Snips Python library to extract meaning from text. Apache-2
pytorch-nlp (🥉22 · ⭐ 1.8K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
scattertext (🥉22 · ⭐ 1.5K) - Beautiful visualizations of how language differs among document.. Apache-2
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GitHub (👨💻 10 · 🔀 200 · 📦 140 · 📋 70 - 24% open · ⏱️ 18.12.2020):
git clone https://github.com/JasonKessler/scattertext
-
PyPi (📥 2.4K / month · 📦 8 · ⏱️ 14.12.2020):
-
Conda (📥 43K · ⏱️ 18.12.2020):
conda install -c conda-forge scattertext
fast-bert (🥉22 · ⭐ 1.5K) - Super easy library for BERT based NLP models. Apache-2
NLP Architect (🥉21 · ⭐ 2.6K) - A model library for exploring state-of-the-art deep learning.. Apache-2
Texar (🥉21 · ⭐ 2.1K) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
DeepMatcher (🥉20 · ⭐ 3.4K · 💤) - Python package for performing Entity and Text Matching using.. BSD-3
gpt-2-simple (🥉20 · ⭐ 2.4K · 💤) - Python package to easily retrain OpenAI's GPT-2 text-.. MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
NeMo (🥉20 · ⭐ 2.3K) - NeMo: a toolkit for conversational AI. Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Texthero (🥉20 · ⭐ 2K) - Text preprocessing, representation and visualization from zero to hero. MIT
DELTA (🥉20 · ⭐ 1.4K) - DELTA is a deep learning based natural language and speech.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
-
GitHub (👨💻 41 · 🔀 270 · 📋 75 - 12% open · ⏱️ 17.12.2020):
git clone https://github.com/Delta-ML/delta
-
PyPi (📥 15 / month · ⏱️ 27.03.2020):
-
Docker Hub (📥 12K · ⏱️ 12.01.2021):
docker pull zh794390558/delta
FARM (🥉20 · ⭐ 1.1K) - Fast & easy transfer learning for NLP. Harvesting language models.. Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Sockeye (🥉20 · ⭐ 980) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2
![](https://camo.githubusercontent.com/f0af627f2b3bbbdfdf76bfd6649e45dc3cdcc25dc96aa53e49a18328fcd6a561/68747470733a2f2f6769742e696f2f4a4c793158)
finetune (🥉20 · ⭐ 630) - Scikit-learn style model finetuning for NLP. MPL-2.0
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
Kashgari (🥉19 · ⭐ 2K) - Kashgari is a production-level NLP Transfer learning framework.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
YouTokenToMe (🥉19 · ⭐ 710 · 💤) - Unsupervised text tokenizer focused on computational efficiency. MIT
textpipe (🥉19 · ⭐ 260) - Textpipe: clean and extract metadata from text. MIT
skift (🥉18 · ⭐ 210 · ➕) - scikit-learn wrappers for Python fastText. MIT
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
Camphr (🥉17 · ⭐ 320) - spaCy plugin for Transformers , Udify, ELmo, etc. Apache-2
spacy
VizSeq (🥉16 · ⭐ 300) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT
Translate (🥉15 · ⭐ 680) - Translate - a PyTorch Language Library. BSD-3
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Headliner (🥉15 · ⭐ 220 · 💤) - Easy training and deployment of seq2seq models. MIT
NeuralQA (🥉15 · ⭐ 180) - NeuralQA: A Usable Library for Question Answering on Large Datasets with.. MIT
OpenNRE (🥉14 · ⭐ 2.9K) - An Open-Source Package for Neural Relation Extraction (NRE). MIT
TransferNLP (🥉14 · ⭐ 280 · 💤) - NLP library designed for reproducible experimentation.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
textvec (🥉14 · ⭐ 150 · ➕) - Text vectorization tool to outperform TFIDF for classification.. MIT
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
Show 10 hidden projects...
- gensim (🥇35 · ⭐ 12K) - Topic Modelling for Humans.
❗️LGPL-2.1
- fuzzywuzzy (🥈29 · ⭐ 7.8K · 💤) - Fuzzy String Matching in Python.
❗️GPL-2.0
- langid (🥈26 · ⭐ 1.7K · 💀) - Stand-alone language identification system.
BSD-3
- polyglot (🥈24 · ⭐ 1.7K) - Multilingual text (NLP) processing toolkit.
❗️GPL-3.0
- anaGo (🥉22 · ⭐ 1.4K · 💀) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,..
MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
- MatchZoo (🥉21 · ⭐ 3.3K · 💀) - Facilitating the design, comparison and sharing of deep..
Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
- stop-words (🥉20 · ⭐ 120 · 💀) - Get list of common stop words in various languages in Python.
BSD-3
- pyfasttext (🥉19 · ⭐ 230 · 💀) - Yet another Python binding for fastText.
❗️GPL-3.0
- NeuroNER (🥉18 · ⭐ 1.5K · 💀) - Named-entity recognition using neural networks. Easy-to-use and..
MIT
- ONNX-T5 (🥉11 · ⭐ 130 · 🐣) - Summarization, translation, sentiment-analysis, text-generation..
Apache-2
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
Libraries for image & video processing, manipulation, and augmentation as well as libraries for computer vision tasks such as facial recognition, object detection, and classification.
Pillow (🥇38 · ⭐ 8.1K) - The friendly PIL fork (Python Imaging Library). ❗️PIL
-
GitHub (👨💻 340 · 🔀 1.6K · 📦 380K · 📋 2.1K - 11% open · ⏱️ 12.01.2021):
git clone https://github.com/python-pillow/Pillow
-
PyPi (📥 14M / month · 📦 110K · ⏱️ 02.01.2021):
-
Conda (📥 6.7M · ⏱️ 11.01.2021):
conda install -c conda-forge pillow
torchvision (🥇36 · ⭐ 8.1K · 📈) - Datasets, Transforms and Models specific to Computer.. BSD-3
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
-
GitHub (👨💻 350 · 🔀 4.2K · 📦 39K · 📋 1.5K - 29% open · ⏱️ 11.01.2021):
git clone https://github.com/pytorch/vision
-
PyPi (📥 750K / month · 📦 4.6K · ⏱️ 10.12.2020):
-
Conda (📥 34K · ⏱️ 14.10.2018):
conda install -c conda-forge torchvision
scikit-image (🥇36 · ⭐ 4.1K) - Image processing in Python. BSD-2
-
GitHub (👨💻 480 · 🔀 1.7K · 📦 58K · 📋 2.1K - 30% open · ⏱️ 11.01.2021):
git clone https://github.com/scikit-image/scikit-image
-
PyPi (📥 1.8M / month · 📦 15K · ⏱️ 23.12.2020):
-
Conda (📥 2M · ⏱️ 23.12.2020):
conda install -c conda-forge scikit-image
imgaug (🥇31 · ⭐ 11K · 💤) - Image augmentation for machine learning experiments. MIT
-
GitHub (👨💻 36 · 🔀 2K · 📦 5K · 📋 420 - 51% open · ⏱️ 01.06.2020):
git clone https://github.com/aleju/imgaug
-
PyPi (📥 140K / month · 📦 280 · ⏱️ 05.02.2020):
-
Conda (📥 31K · ⏱️ 14.02.2020):
conda install -c conda-forge imgaug
imageio (🥇31 · ⭐ 820) - Python library for reading and writing image data. BSD-2
-
GitHub (👨💻 71 · 🔀 160 · 📦 35K · 📋 330 - 18% open · ⏱️ 08.01.2021):
git clone https://github.com/imageio/imageio
-
PyPi (📥 1.9M / month · 📦 3.8K · ⏱️ 06.07.2020):
-
Conda (📥 1.6M · ⏱️ 06.07.2020):
conda install -c conda-forge imageio
opencv-python (🥈30 · ⭐ 1.7K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
Wand (🥈30 · ⭐ 1K) - The ctypes-based simple ImageMagick binding for Python. MIT
Face Recognition (🥈29 · ⭐ 38K) - The world's simplest facial recognition api for Python.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
MoviePy (🥈29 · ⭐ 7.2K) - Video editing with Python. MIT
-
GitHub (👨💻 130 · 🔀 1K · 📦 5.7K · 📋 970 - 34% open · ⏱️ 12.01.2021):
git clone https://github.com/Zulko/moviepy
-
PyPi (📥 120K / month · 📦 1.1K · ⏱️ 05.10.2020):
-
Conda (📥 71K · ⏱️ 23.02.2020):
conda install -c conda-forge moviepy
Albumentations (🥈28 · ⭐ 7K · 📉) - Fast image augmentation library and easy to use wrapper.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
-
GitHub (👨💻 72 · 🔀 900 · 📦 2.5K · 📋 400 - 42% open · ⏱️ 30.12.2020):
git clone https://github.com/albumentations-team/albumentations
-
PyPi (📥 58K / month · 📦 130 · ⏱️ 29.11.2020):
pip install albumentations
-
Conda (📥 14K · ⏱️ 29.11.2020):
conda install -c conda-forge albumentations
GluonCV (🥈28 · ⭐ 4.5K) - Gluon CV Toolkit. Apache-2
![](https://camo.githubusercontent.com/f0af627f2b3bbbdfdf76bfd6649e45dc3cdcc25dc96aa53e49a18328fcd6a561/68747470733a2f2f6769742e696f2f4a4c793158)
Kornia (🥈28 · ⭐ 3.5K) - Open Source Differentiable Computer Vision Library for PyTorch. Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
ImageHash (🥈28 · ⭐ 1.8K) - A Python Perceptual Image Hashing Module. BSD-2
-
GitHub (👨💻 17 · 🔀 250 · 📦 1.8K · 📋 87 - 19% open · ⏱️ 03.01.2021):
git clone https://github.com/JohannesBuchner/imagehash
-
PyPi (📥 350K / month · 📦 530 · ⏱️ 19.11.2020):
-
Conda (📥 97K · ⏱️ 19.11.2020):
conda install -c conda-forge imagehash
PyTorch Image Models (🥈27 · ⭐ 6.5K) - PyTorch image models, scripts, pretrained weights --.. Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
imageai (🥈27 · ⭐ 5.8K) - A python library built to empower developers to build applications and.. MIT
detectron2 (🥈26 · ⭐ 14K) - Detectron2 is FAIR's next-generation platform for object.. Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
InsightFace (🥈26 · ⭐ 8.4K) - Face Analysis Project on MXNet. MIT
![](https://camo.githubusercontent.com/f0af627f2b3bbbdfdf76bfd6649e45dc3cdcc25dc96aa53e49a18328fcd6a561/68747470733a2f2f6769742e696f2f4a4c793158)
MMDetection (🥈25 · ⭐ 13K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Augmentor (🥈25 · ⭐ 4.3K · 💤) - Image augmentation library in Python for machine learning. MIT
facenet-pytorch (🥈25 · ⭐ 1.8K · 📉) - Pretrained Pytorch face detection (MTCNN) and.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
chainercv (🥈25 · ⭐ 1.4K · 💤) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT
mahotas (🥈25 · ⭐ 660 · ➕) - Computer Vision in Python. MIT
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GitHub (👨💻 30 · 🔀 120 · 📦 550 · 📋 69 - 18% open · ⏱️ 16.08.2020):
git clone https://github.com/luispedro/mahotas
-
PyPi (📥 8.8K / month · 📦 190 · ⏱️ 16.08.2020):
-
Conda (📥 250K · ⏱️ 01.11.2020):
conda install -c conda-forge mahotas
PyTorch3D (🥉24 · ⭐ 4.2K) - PyTorch3D is FAIR's library of reusable components for deep.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
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GitHub (👨💻 50 · 🔀 460 · 📦 40 · 📋 460 - 12% open · ⏱️ 11.01.2021):
git clone https://github.com/facebookresearch/pytorch3d
-
PyPi (📥 4.4K / month · ⏱️ 12.11.2020):
-
Conda (📥 5.5K · ⏱️ 12.11.2020):
conda install -c pytorch3d pytorch3d
mtcnn (🥉24 · ⭐ 1.4K · 💤) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
Face Alignment (🥉23 · ⭐ 4.6K) - 2D and 3D Face alignment library build using pytorch. BSD-3
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
segmentation_models (🥉23 · ⭐ 2.9K · 💤) - Segmentation models with pretrained backbones. Keras.. MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
vidgear (🥉23 · ⭐ 1.6K · ➕) - High-performance cross-platform Video Processing Python.. Apache-2
Image Deduplicator (🥉22 · ⭐ 3.3K) - Finding duplicate images made easy!. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
CellProfiler (🥉22 · ⭐ 530 · ➕) - An open-source application for biological image analysis. BSD-3
pyvips (🥉22 · ⭐ 290) - python binding for libvips using cffi. MIT
-
GitHub (👨💻 10 · 🔀 25 · 📦 130 · 📋 200 - 33% open · ⏱️ 27.12.2020):
git clone https://github.com/libvips/pyvips
-
PyPi (📥 3.3K / month · 📦 22 · ⏱️ 18.12.2020):
-
Conda (📥 5.9K · ⏱️ 14.10.2020):
conda install -c conda-forge pyvips
MMF (🥉21 · ⭐ 4K) - A modular framework for vision & language multimodal research from.. BSD-3
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Image Super-Resolution (🥉21 · ⭐ 2.4K) - Super-scale your images and run experiments with.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
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GitHub (👨💻 9 · 🔀 460 · 📦 38 · 📋 140 - 33% open · ⏱️ 11.11.2020):
git clone https://github.com/idealo/image-super-resolution
-
PyPi (📥 2.7K / month · 📦 4 · ⏱️ 08.01.2020):
-
Docker Hub (📥 120 · ⏱️ 01.04.2019):
docker pull idealo/image-super-resolution-gpu
tensorflow-graphics (🥉21 · ⭐ 2.4K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
Luminoth (🥉21 · ⭐ 2.3K · 💤) - Deep Learning toolkit for Computer Vision. BSD-3
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
caer (🥉21 · ⭐ 300 · 🐣) - A lightweight, scalable Computer Vision library for high-performance AI.. MIT
image-match (🥉20 · ⭐ 2.5K · ➕) - Quickly search over billions of images. Apache-2
Classy Vision (🥉20 · ⭐ 1K) - An end-to-end PyTorch framework for image and video.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
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GitHub (👨💻 53 · 🔀 190 · 📋 88 - 52% open · ⏱️ 06.01.2021):
git clone https://github.com/facebookresearch/ClassyVision
-
PyPi (📥 170 / month · ⏱️ 20.11.2020):
pip install classy_vision
-
Conda (📥 5.5K · ⏱️ 11.12.2020):
conda install -c conda-forge classy_vision
nude.py (🥉20 · ⭐ 790) - Nudity detection with Python. MIT
vit-pytorch (🥉19 · ⭐ 2.2K · 🐣) - Implementation of Vision Transformer, a simple way to.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Torch Points 3D (🥉19 · ⭐ 980) - Pytorch framework for doing deep learning on point clouds. BSD-3
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Norfair (🥉18 · ⭐ 760 · 🐣) - Lightweight Python library for adding real-time 2D object tracking.. BSD-3
PaddleDetection (🥉17 · ⭐ 2.2K) - Object detection and instance segmentation toolkit.. Apache-2
![](https://camo.githubusercontent.com/9d8bc42e3f1d9611b2d51d2ad22846e139e5e3e1187cf42612a5cb6ae2d389ff/68747470733a2f2f6769742e696f2f4a4c79314d)
lightly (🥉16 · ⭐ 390 · 🐣) - A python library for self-supervised learning. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
DE⫶TR (🥉14 · ⭐ 5.9K) - End-to-End Object Detection with Transformers. Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
PySlowFast (🥉14 · ⭐ 3.3K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
pycls (🥉14 · ⭐ 1.4K) - Codebase for Image Classification Research, written in PyTorch. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Show 3 hidden projects...
- glfw (🥈29 · ⭐ 7.1K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.
❗️Zlib
- imutils (🥈27 · ⭐ 3.5K · 💀) - A series of convenience functions to make basic image processing..
MIT
- Pillow-SIMD (🥉23 · ⭐ 1.5K · 💤) - The friendly PIL fork.
❗️PIL
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
Libraries for graph processing, clustering, embedding, and machine learning tasks.
networkx (🥇37 · ⭐ 8.5K) - Network Analysis in Python. BSD-3
-
GitHub (👨💻 490 · 🔀 2.2K · 📥 51 · 📦 64K · 📋 2.5K - 9% open · ⏱️ 12.01.2021):
git clone https://github.com/networkx/networkx
-
PyPi (📥 5.2M / month · 📦 21K · ⏱️ 22.08.2020):
-
Conda (📥 2.8M · ⏱️ 23.08.2020):
conda install -c conda-forge networkx
PyTorch Geometric (🥇28 · ⭐ 9.9K) - Geometric Deep Learning Extension Library for PyTorch. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
dgl (🥇27 · ⭐ 6.5K) - Python package built to ease deep learning on graph, on top of existing.. Apache-2
StellarGraph (🥈25 · ⭐ 1.7K) - StellarGraph - Machine Learning on Graphs. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
Spektral (🥈23 · ⭐ 1.6K) - Graph Neural Networks with Keras and Tensorflow 2. MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
Node2Vec (🥈22 · ⭐ 620) - Implementation of the node2vec algorithm. MIT
-
GitHub (👨💻 7 · 🔀 160 · 📦 110 · ⏱️ 09.01.2021):
git clone https://github.com/eliorc/node2vec
-
PyPi (📥 4.4K / month · 📦 10 · ⏱️ 09.01.2021):
-
Conda (📥 15K · ⏱️ 25.04.2020):
conda install -c conda-forge node2vec
ogb (🥈21 · ⭐ 700) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT
torch-cluster (🥈21 · ⭐ 320) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
AmpliGraph (🥉20 · ⭐ 1.4K) - Python library for Representation Learning on Knowledge.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
graph-nets (🥉19 · ⭐ 4.7K) - Build Graph Nets in Tensorflow. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
PyTorch-BigGraph (🥉19 · ⭐ 2.6K) - Generate embeddings from large-scale graph-structured.. BSD-3
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Paddle Graph Learning (🥉19 · ⭐ 870) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2
![](https://camo.githubusercontent.com/9d8bc42e3f1d9611b2d51d2ad22846e139e5e3e1187cf42612a5cb6ae2d389ff/68747470733a2f2f6769742e696f2f4a4c79314d)
PyKEEN (🥉19 · ⭐ 280) - A Python library for learning and evaluating knowledge graph embeddings. MIT
kglib (🥉17 · ⭐ 380) - Grakn Knowledge Graph Library (ML R&D). Apache-2
DeepGraph (🥉17 · ⭐ 230) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3
![](https://camo.githubusercontent.com/6e52e7cbf423c1044ceafbf4045895d00974de2025bb8aaec1c432a085c052d4/68747470733a2f2f6769742e696f2f4a4c793153)
-
GitHub (👨💻 2 · 🔀 33 · 📦 1 · 📋 12 - 58% open · ⏱️ 01.10.2020):
git clone https://github.com/deepgraph/deepgraph
-
PyPi (📥 240 / month · ⏱️ 01.10.2020):
-
Conda (📥 76K · ⏱️ 13.10.2020):
conda install -c conda-forge deepgraph
pytorch_geometric_temporal (🥉16 · ⭐ 310 · ➕) - A Temporal Extension Library for PyTorch Geometric. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
AutoGL (🥉15 · ⭐ 560 · 🐣) - An autoML framework & toolkit for machine learning on graphs. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Euler (🥉14 · ⭐ 2.5K) - A distributed graph deep learning framework. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
GraphEmbedding (🥉14 · ⭐ 1.7K) - Implementation and experiments of graph embedding algorithms. MIT
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
OpenKE (🥉13 · ⭐ 2.3K · 💤) - An Open-Source Package for Knowledge Embedding (KE). MIT
GraphVite (🥉12 · ⭐ 830 · 💤) - GraphVite: A General and High-performance Graph Embedding.. Apache-2
Show 7 hidden projects...
- igraph (🥇27 · ⭐ 760) - Python interface for igraph.
❗️GPL-2.0
- pygal (🥈26 · ⭐ 2.3K) - PYthon svg GrAph plotting Library.
❗️LGPL-3.0
- Karate Club (🥈21 · ⭐ 1.1K) - Karate Club: An API Oriented Open-source Python Framework for..
❗️GPL-3.0
- DeepWalk (🥉19 · ⭐ 2.2K · 💤) - DeepWalk - Deep Learning for Graphs.
❗️GPL-3.0
- Sematch (🥉17 · ⭐ 340 · 💀) - semantic similarity framework for knowledge graph.
Apache-2
- GraphSAGE (🥉14 · ⭐ 2.1K · 💀) - Representation learning on large graphs using stochastic..
MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
- OpenNE (🥉14 · ⭐ 1.4K · 💀) - An Open-Source Package for Network Embedding (NE).
MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks.
DeepSpeech (🥇31 · ⭐ 16K) - DeepSpeech is an open source embedded (offline, on-device).. MPL-2.0
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
Magenta (🥇29 · ⭐ 16K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
Pydub (🥇29 · ⭐ 5K) - Manipulate audio with a simple and easy high level interface. MIT
-
GitHub (👨💻 79 · 🔀 670 · 📦 5.6K · 📋 400 - 41% open · ⏱️ 14.12.2020):
git clone https://github.com/jiaaro/pydub
-
PyPi (📥 120K / month · 📦 1.4K · ⏱️ 03.06.2020):
-
Conda (📥 12K · ⏱️ 02.02.2019):
conda install -c conda-forge pydub
torchaudio (🥇29 · ⭐ 1.2K) - Data manipulation and transformation for audio signal.. BSD-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
audioread (🥈27 · ⭐ 360 · ➕) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT
-
GitHub (👨💻 20 · 🔀 83 · 📦 3.9K · 📋 75 - 41% open · ⏱️ 20.10.2020):
git clone https://github.com/beetbox/audioread
-
PyPi (📥 280K / month · 📦 590 · ⏱️ 20.10.2020):
-
Conda (📥 190K · ⏱️ 08.12.2020):
conda install -c conda-forge audioread
librosa (🥈26 · ⭐ 4.2K) - Python library for audio and music analysis. ISC
-
GitHub (👨💻 80 · 🔀 680 · 📦 8.8K · 📋 830 - 6% open · ⏱️ 11.09.2020):
git clone https://github.com/librosa/librosa
-
PyPi (📥 300K / month · 📦 1.8K · ⏱️ 22.07.2020):
-
Conda (📥 240K · ⏱️ 22.07.2020):
conda install -c conda-forge librosa
spleeter (🥈25 · ⭐ 15K · 📉) - Deezer source separation library including pretrained models. MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
-
GitHub (👨💻 17 · 🔀 1.5K · 📥 890K · 📋 500 - 18% open · ⏱️ 11.01.2021):
git clone https://github.com/deezer/spleeter
-
PyPi (📥 5.8K / month · ⏱️ 08.01.2021):
-
Conda (📥 41K · ⏱️ 30.06.2020):
conda install -c conda-forge spleeter
pyAudioAnalysis (🥈25 · ⭐ 3.7K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
espnet (🥈25 · ⭐ 3.3K) - End-to-End Speech Processing Toolkit. Apache-2
python-soundfile (🥈25 · ⭐ 350) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
python_speech_features (🥉24 · ⭐ 1.8K · ➕) - This library provides common speech features for ASR.. MIT
tinytag (🥉23 · ⭐ 430 · ➕) - Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA.. MIT
DDSP (🥉22 · ⭐ 1.7K) - DDSP: Differentiable Digital Signal Processing. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
kapre (🥉22 · ⭐ 690 · ➕) - kapre: Keras Audio Preprocessors. MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
Porcupine (🥉21 · ⭐ 2.3K) - On-device wake word detection powered by deep learning. Apache-2
Dejavu (🥉20 · ⭐ 5.3K · 💤) - Audio fingerprinting and recognition in Python. MIT
TTS (🥉17 · ⭐ 3K · ➕) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
Muda (🥉16 · ⭐ 170) - A library for augmenting annotated audio data. ISC
Julius (🥉12 · ⭐ 160 · 🐣) - Fast PyTorch based DSP for audio and 1D signals. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Show 4 hidden projects...
- SpeechRecognition (🥇30 · ⭐ 5.3K · 💀) - Speech recognition module for Python, supporting..
BSD-3
- aubio (🥈26 · ⭐ 2K) - a library for audio and music analysis.
❗️GPL-3.0
- Essentia (🥉23 · ⭐ 1.7K) - C++ library for audio and music analysis, description and..
❗️AGPL-3.0
- Madmom (🥉21 · ⭐ 700 · 💀) - Python audio and music signal processing library.
BSD-3
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
Libraries to load, process, analyze, and write geographic data as well as libraries for spatial analysis, map visualization, and geocoding.
geopy (🥇33 · ⭐ 3.2K) - Geocoding library for Python. MIT
-
GitHub (👨💻 120 · 🔀 520 · 📦 15K · 📋 240 - 10% open · ⏱️ 27.12.2020):
git clone https://github.com/geopy/geopy
-
PyPi (📥 3.8M / month · 📦 7.2K · ⏱️ 27.12.2020):
-
Conda (📥 500K · ⏱️ 27.12.2020):
conda install -c conda-forge geopy
Shapely (🥇33 · ⭐ 2.1K · ➕) - Manipulation and analysis of geometric objects. BSD-3
-
GitHub (👨💻 100 · 🔀 370 · 📦 15K · 📋 700 - 19% open · ⏱️ 15.12.2020):
git clone https://github.com/Toblerity/Shapely
-
PyPi (📥 2M / month · 📦 5.5K · ⏱️ 20.08.2020):
-
Conda (📥 2M · ⏱️ 13.10.2020):
conda install -c conda-forge shapely
folium (🥇32 · ⭐ 5.1K) - Python Data. Leaflet.js Maps. MIT
-
GitHub (👨💻 120 · 🔀 1.9K · 📦 8K · 📋 830 - 17% open · ⏱️ 04.01.2021):
git clone https://github.com/python-visualization/folium
-
PyPi (📥 210K / month · 📦 970 · ⏱️ 06.01.2021):
-
Conda (📥 310K · ⏱️ 06.01.2021):
conda install -c conda-forge folium
GeoPandas (🥈30 · ⭐ 2.4K) - Python tools for geographic data. BSD-3
![](https://camo.githubusercontent.com/6e52e7cbf423c1044ceafbf4045895d00974de2025bb8aaec1c432a085c052d4/68747470733a2f2f6769742e696f2f4a4c793153)
-
GitHub (👨💻 130 · 🔀 530 · 📥 840 · 📦 6.8K · 📋 950 - 30% open · ⏱️ 10.01.2021):
git clone https://github.com/geopandas/geopandas
-
PyPi (📥 390K / month · 📦 1.2K · ⏱️ 24.06.2020):
-
Conda (📥 810K · ⏱️ 16.07.2020):
conda install -c conda-forge geopandas
Rasterio (🥈30 · ⭐ 1.4K) - Rasterio reads and writes geospatial raster datasets. BSD-3
-
GitHub (👨💻 110 · 🔀 390 · 📥 700 · 📦 2.6K · 📋 1.3K - 10% open · ⏱️ 12.01.2021):
git clone https://github.com/mapbox/rasterio
-
PyPi (📥 130K / month · 📦 850 · ⏱️ 12.01.2021):
-
Conda (📥 840K · ⏱️ 30.10.2020):
conda install -c conda-forge rasterio
Fiona (🥈30 · ⭐ 770) - Fiona reads and writes geographic data files. BSD-3
-
GitHub (👨💻 65 · 🔀 160 · 📦 4.8K · 📋 620 - 11% open · ⏱️ 30.11.2020):
git clone https://github.com/Toblerity/Fiona
-
PyPi (📥 450K / month · 📦 1.2K · ⏱️ 17.11.2020):
-
Conda (📥 1.6M · ⏱️ 17.11.2020):
conda install -c conda-forge fiona
pyproj (🥈29 · ⭐ 560) - Python interface to PROJ (cartographic projections and coordinate.. MIT
-
GitHub (👨💻 39 · 🔀 150 · 📦 8.1K · 📋 380 - 1% open · ⏱️ 08.01.2021):
git clone https://github.com/pyproj4/pyproj
-
PyPi (📥 1.1M / month · 📦 2.5K · ⏱️ 05.11.2020):
-
Conda (📥 1.9M · ⏱️ 06.11.2020):
conda install -c conda-forge pyproj
ipyleaflet (🥈27 · ⭐ 1.1K) - A Jupyter - Leaflet.js bridge. MIT
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
-
GitHub (👨💻 63 · 🔀 280 · 📦 660 · 📋 380 - 34% open · ⏱️ 05.01.2021):
git clone https://github.com/jupyter-widgets/ipyleaflet
-
PyPi (📥 13K / month · 📦 98 · ⏱️ 05.01.2021):
-
Conda (📥 580K · ⏱️ 05.01.2021):
conda install -c conda-forge ipyleaflet
-
NPM (📥 130K / month · 📦 2 · ⏱️ 05.01.2021):
npm install jupyter-leaflet
geojson (🥈27 · ⭐ 590) - Python bindings and utilities for GeoJSON. BSD-3
-
GitHub (👨💻 44 · 🔀 78 · 📦 5.5K · 📋 68 - 26% open · ⏱️ 25.11.2020):
git clone https://github.com/jazzband/geojson
-
PyPi (📥 410K / month · 📦 1.6K · ⏱️ 09.08.2019):
-
Conda (📥 360K · ⏱️ 11.08.2019):
conda install -c conda-forge geojson
ArcGIS API (🥉25 · ⭐ 940) - Documentation and samples for ArcGIS API for Python. Apache-2
-
GitHub (👨💻 60 · 🔀 680 · 📋 320 - 39% open · ⏱️ 06.01.2021):
git clone https://github.com/Esri/arcgis-python-api
-
PyPi (📥 19K / month · 📦 10 · ⏱️ 30.11.2020):
-
Docker Hub (📥 3.6K · ⭐ 29 · ⏱️ 06.03.2020):
docker pull esridocker/arcgis-api-python-notebook
PySAL (🥉24 · ⭐ 810) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3
-
GitHub (👨💻 70 · 🔀 240 · 📋 630 - 9% open · ⏱️ 12.01.2021):
git clone https://github.com/pysal/pysal
-
PyPi (📥 10K / month · 📦 18 · ⏱️ 30.07.2020):
-
Conda (📥 400K · ⏱️ 30.07.2020):
conda install -c conda-forge pysal
GeoViews (🥉24 · ⭐ 330) - Simple, concise geographical visualization in Python. BSD-3
-
GitHub (👨💻 21 · 🔀 60 · 📦 190 · 📋 250 - 31% open · ⏱️ 21.09.2020):
git clone https://github.com/holoviz/geoviews
-
PyPi (📥 1.2K / month · 📦 10 · ⏱️ 30.03.2020):
-
Conda (📥 54K · ⏱️ 23.09.2020):
conda install -c conda-forge geoviews
EarthPy (🥉22 · ⭐ 220) - A package built to support working with spatial data using open source.. BSD-3
-
GitHub (👨💻 38 · 🔀 96 · 📦 72 · 📋 220 - 11% open · ⏱️ 03.12.2020):
git clone https://github.com/earthlab/earthpy
-
PyPi (📥 1.7K / month · 📦 6 · ⏱️ 18.06.2020):
-
Conda (📥 26K · ⏱️ 19.06.2020):
conda install -c conda-forge earthpy
pymap3d (🥉21 · ⭐ 170) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2
-
GitHub (👨💻 8 · 🔀 55 · 📋 24 - 8% open · ⏱️ 23.12.2020):
git clone https://github.com/geospace-code/pymap3d
-
PyPi (📥 9K / month · 📦 3 · ⏱️ 21.09.2020):
-
Conda (📥 5.9K · ⏱️ 24.09.2020):
conda install -c conda-forge pymap3d
Show 7 hidden projects...
- Geocoder (🥈29 · ⭐ 1.3K · 💀) - Python Geocoder.
MIT
- Cartopy (🥈27 · ⭐ 1.4K) - Rasterio reads and writes geospatial raster datasets.
❗️LGPL-3.0
- Satpy (🥉25 · ⭐ 660) - Python package for earth-observing satellite data processing.
❗️GPL-3.0
- gmaps (🥉21 · ⭐ 700 · 💀) - Google maps for Jupyter notebooks.
BSD-3
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
- Sentinelsat (🥉21 · ⭐ 540) - Search and download Copernicus Sentinel satellite images.
❗️GPL-3.0
- Mapbox GL (🥉20 · ⭐ 550 · 💀) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook.
MIT
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
- geoplotlib (🥉19 · ⭐ 890 · 💀) - python toolbox for visualizing geographical data and making maps.
MIT
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, technical analysis, and other tasks on financial data.
zipline (🥇30 · ⭐ 13K) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2
yfinance (🥇29 · ⭐ 3.9K) - Yahoo! Finance market data downloader (+faster Pandas Datareader). Apache-2
-
GitHub (👨💻 27 · 🔀 990 · 📦 2.6K · 📋 470 - 63% open · ⏱️ 11.01.2021):
git clone https://github.com/ranaroussi/yfinance
-
PyPi (📥 100K / month · 📦 26 · ⏱️ 05.10.2020):
-
Conda (📥 30K · ⏱️ 27.12.2019):
conda install -c ranaroussi yfinance
Alpha Vantage (🥇27 · ⭐ 3K) - A python wrapper for Alpha Vantage API for financial data. MIT
ta (🥇27 · ⭐ 1.7K · ➕) - Technical Analysis Library using Pandas and Numpy. MIT
pyfolio (🥈25 · ⭐ 3.4K) - Portfolio and risk analytics in Python. Apache-2
-
GitHub (👨💻 55 · 🔀 1.1K · 📦 190 · 📋 390 - 31% open · ⏱️ 15.07.2020):
git clone https://github.com/quantopian/pyfolio
-
PyPi (📥 6.8K / month · 📦 54 · ⏱️ 15.04.2019):
-
Conda (📥 5.4K · ⏱️ 16.05.2020):
conda install -c conda-forge pyfolio
empyrical (🥈25 · ⭐ 680) - Common financial risk and performance metrics. Used by zipline and.. Apache-2
-
GitHub (👨💻 22 · 🔀 220 · 📦 500 · 📋 53 - 50% open · ⏱️ 14.10.2020):
git clone https://github.com/quantopian/empyrical
-
PyPi (📥 25K / month · 📦 220 · ⏱️ 13.10.2020):
-
Conda (📥 9K · ⏱️ 14.10.2020):
conda install -c conda-forge empyrical
Alphalens (🥈24 · ⭐ 1.7K · 💤) - Performance analysis of predictive (alpha) stock factors. Apache-2
-
GitHub (👨💻 25 · 🔀 620 · 📦 350 · 📋 180 - 20% open · ⏱️ 27.04.2020):
git clone https://github.com/quantopian/alphalens
-
PyPi (📥 2K / month · 📦 14 · ⏱️ 27.04.2020):
-
Conda (📥 10K · ⏱️ 16.05.2020):
conda install -c conda-forge alphalens
IB-insync (🥈24 · ⭐ 1.2K) - Python sync/async framework for Interactive Brokers API. BSD-2
-
GitHub (👨💻 25 · 🔀 380 · 📋 280 - 1% open · ⏱️ 12.01.2021):
git clone https://github.com/erdewit/ib_insync
-
PyPi (📥 3K / month · 📦 12 · ⏱️ 03.11.2020):
-
Conda (📥 7.1K · ⏱️ 07.11.2020):
conda install -c conda-forge ib-insync
ffn (🥈24 · ⭐ 740) - ffn - a financial function library for Python. MIT
Enigma Catalyst (🥉23 · ⭐ 1.9K) - An Algorithmic Trading Library for Crypto-Assets in Python. Apache-2
stockstats (🥉23 · ⭐ 690 · ➕) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3
bt (🥉22 · ⭐ 930) - bt - flexible backtesting for Python. MIT
TensorTrade (🥉21 · ⭐ 2.2K) - An open source reinforcement learning framework for training,.. Apache-2
finmarketpy (🥉20 · ⭐ 2.4K) - Python library for backtesting trading strategies & analyzing.. Apache-2
Qlib (🥉19 · ⭐ 3.6K · 🐣) - Qlib is an AI-oriented quantitative investment platform, which aims.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
tf-quant-finance (🥉19 · ⭐ 1.4K · ➕) - High-performance TensorFlow library for quantitative.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
Crypto Signals (🥉18 · ⭐ 2.4K) - Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis.. MIT
Show 6 hidden projects...
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data.
Prophet (🥇30 · ⭐ 12K) - Tool for producing high quality forecasts for time series data that has.. MIT
tsfresh (🥇27 · ⭐ 5.3K · 📈) - Automatic extraction of relevant features from time series:. MIT
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
-
GitHub (👨💻 71 · 🔀 840 · 📋 430 - 7% open · ⏱️ 12.01.2021):
git clone https://github.com/blue-yonder/tsfresh
-
PyPi (📥 170K / month · 📦 66 · ⏱️ 09.09.2020):
-
Conda (📥 26K · ⏱️ 10.09.2020):
conda install -c conda-forge tsfresh
tslearn (🥇27 · ⭐ 1.4K) - A machine learning toolkit dedicated to time-series data. BSD-2
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
-
GitHub (👨💻 28 · 🔀 220 · 📦 180 · 📋 220 - 23% open · ⏱️ 08.01.2021):
git clone https://github.com/tslearn-team/tslearn
-
PyPi (📥 67K / month · 📦 11 · ⏱️ 18.06.2020):
-
Conda (📥 180K · ⏱️ 19.06.2020):
conda install -c conda-forge tslearn
sktime (🥈26 · ⭐ 3.4K) - A unified framework for machine learning with time series. BSD-3
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
pmdarima (🥈26 · ⭐ 800 · ➕) - A statistical library designed to fill the void in Python's time.. MIT
Streamz (🥈24 · ⭐ 900) - Real-time stream processing for python. BSD-3
-
GitHub (👨💻 38 · 🔀 110 · 📦 180 · 📋 220 - 41% open · ⏱️ 12.01.2021):
git clone https://github.com/python-streamz/streamz
-
PyPi (📥 2.1K / month · 📦 16 · ⏱️ 02.11.2020):
-
Conda (📥 100K · ⏱️ 03.11.2020):
conda install -c conda-forge streamz
GluonTS (🥈23 · ⭐ 1.7K) - Probabilistic time series modeling in Python. Apache-2
![](https://camo.githubusercontent.com/f0af627f2b3bbbdfdf76bfd6649e45dc3cdcc25dc96aa53e49a18328fcd6a561/68747470733a2f2f6769742e696f2f4a4c793158)
STUMPY (🥉22 · ⭐ 1.6K) - STUMPY is a powerful and scalable Python library for computing a Matrix.. BSD-3
-
GitHub (👨💻 20 · 🔀 160 · 📋 200 - 13% open · ⏱️ 04.01.2021):
git clone https://github.com/TDAmeritrade/stumpy
-
PyPi (📥 18K / month · ⏱️ 31.12.2020):
-
Conda (📥 15K · ⏱️ 31.12.2020):
conda install -c conda-forge stumpy
Darts (🥉21 · ⭐ 690) - A python library for easy manipulation and forecasting of time series. Apache-2
-
GitHub (👨💻 23 · 🔀 84 · 📦 11 · 📋 57 - 28% open · ⏱️ 09.11.2020):
git clone https://github.com/unit8co/darts
-
PyPi (📥 910 / month · ⏱️ 09.11.2020):
-
Docker Hub (📥 75 · ⏱️ 06.10.2020):
pyts (🥉20 · ⭐ 850 · 💤) - A Python package for time series classification. BSD-3
-
GitHub (👨💻 7 · 🔀 92 · 📦 79 · 📋 41 - 56% open · ⏱️ 30.04.2020):
git clone https://github.com/johannfaouzi/pyts
-
PyPi (📥 2.1K / month · 📦 2 · ⏱️ 21.03.2020):
-
Conda (📥 5.8K · ⏱️ 21.03.2020):
conda install -c conda-forge pyts
matrixprofile-ts (🥉19 · ⭐ 600 · 💤) - A Python library for detecting patterns and anomalies.. Apache-2
pytorch-forecasting (🥉19 · ⭐ 590 · 🐣) - Time series forecasting with PyTorch. MIT
seglearn (🥉19 · ⭐ 410) - Python module for machine learning time series:. BSD-3
ADTK (🥉17 · ⭐ 580 · 💤) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0
atspy (🥉17 · ⭐ 320 · ➕) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT
tick (🥉17 · ⭐ 320 · 💤) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
Show 4 hidden projects...
- luminol (🥈23 · ⭐ 860 · 💀) - Anomaly Detection and Correlation library.
Apache-2
- PyFlux (🥉22 · ⭐ 1.8K · 💀) - Open source time series library for Python.
BSD-3
- pydlm (🥉20 · ⭐ 350 · 💀) - A python library for Bayesian time series modeling.
BSD-3
- Auto TS (🥉17 · ⭐ 140) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and ML Models on..
Apache-2
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats.
MNE (🥇31 · ⭐ 1.5K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
-
GitHub (👨💻 230 · 🔀 840 · 📦 780 · 📋 3.4K - 8% open · ⏱️ 12.01.2021):
git clone https://github.com/mne-tools/mne-python
-
PyPi (📥 20K / month · 📦 200 · ⏱️ 17.12.2020):
-
Conda (📥 96K · ⏱️ 20.12.2020):
conda install -c conda-forge mne
Nilearn (🥇30 · ⭐ 690) - Machine learning for NeuroImaging in Python. BSD-3
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
-
GitHub (👨💻 160 · 🔀 370 · 📦 850 · 📋 1.4K - 26% open · ⏱️ 11.01.2021):
git clone https://github.com/nilearn/nilearn
-
PyPi (📥 8.8K / month · 📦 300 · ⏱️ 12.11.2020):
-
Conda (📥 76K · ⏱️ 12.11.2020):
conda install -c conda-forge nilearn
Lifelines (🥈29 · ⭐ 1.5K) - Survival analysis in Python. MIT
-
GitHub (👨💻 90 · 🔀 410 · 📦 480 · 📋 770 - 24% open · ⏱️ 05.01.2021):
git clone https://github.com/CamDavidsonPilon/lifelines
-
PyPi (📥 100K / month · 📦 130 · ⏱️ 09.12.2020):
-
Conda (📥 120K · ⏱️ 10.12.2020):
conda install -c conda-forge lifelines
NIPYPE (🥈29 · ⭐ 540) - Workflows and interfaces for neuroimaging packages. Apache-2
-
GitHub (👨💻 210 · 🔀 440 · 📦 480 · 📋 1.2K - 26% open · ⏱️ 08.12.2020):
git clone https://github.com/nipy/nipype
-
PyPi (📥 11K / month · 📦 190 · ⏱️ 16.08.2020):
-
Conda (📥 350K · ⏱️ 28.11.2020):
conda install -c conda-forge nipype
NiBabel (🥈29 · ⭐ 380) - Python package to access a cacophony of neuro-imaging file formats. MIT
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GitHub (👨💻 89 · 🔀 210 · 📦 3.5K · 📋 390 - 27% open · ⏱️ 05.01.2021):
git clone https://github.com/nipy/nibabel
-
PyPi (📥 46K / month · 📦 1.3K · ⏱️ 28.11.2020):
-
Conda (📥 290K · ⏱️ 29.11.2020):
conda install -c conda-forge nibabel
DIPY (🥈28 · ⭐ 380) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3
-
GitHub (👨💻 120 · 🔀 310 · 📦 320 · 📋 730 - 21% open · ⏱️ 10.12.2020):
git clone https://github.com/dipy/dipy
-
PyPi (📥 6.6K / month · 📦 94 · ⏱️ 05.11.2020):
-
Conda (📥 170K · ⏱️ 14.11.2020):
conda install -c conda-forge dipy
Hail (🥈23 · ⭐ 690) - Scalable genomic data analysis. MIT
![](https://camo.githubusercontent.com/ad9aa9138d8bd3fca3d031f172857bd28a9822869eccb6560909950b9aaf767b/68747470733a2f2f6769742e696f2f4a4c79314e)
MONAI (🥈22 · ⭐ 1.7K) - AI Toolkit for Healthcare Imaging. Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
NiftyNet (🥈22 · ⭐ 1.3K · 💤) - [unmaintained] An open-source convolutional neural.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
DeepVariant (🥉21 · ⭐ 2.2K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
Glow (🥉19 · ⭐ 150) - An open-source toolkit for large-scale genomic analysis. Apache-2
Brainiak (🥉18 · ⭐ 230) - Brain Imaging Analysis Kit. Apache-2
-
GitHub (👨💻 32 · 🔀 100 · 📦 11 · 📋 180 - 35% open · ⏱️ 15.10.2020):
git clone https://github.com/brainiak/brainiak
-
PyPi (📥 86 / month · 📦 1 · ⏱️ 15.10.2020):
-
Docker Hub (📥 460 · ⭐ 1 · ⏱️ 15.10.2020):
docker pull brainiak/brainiak
Medical Detection Toolkit (🥉12 · ⭐ 890 · 💤) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
MedicalNet (🥉11 · ⭐ 1K) - Many studies have shown that the performance on deep learning is.. MIT
Show 5 hidden projects...
- NIPY (🥉21 · ⭐ 290) - Neuroimaging in Python FMRI analysis package.
❗️DSDP
- MedPy (🥉20 · ⭐ 310 · 💤) - Medical image processing in Python.
❗️GPL-3.0
- DLTK (🥉19 · ⭐ 1.2K · 💀) - Deep Learning Toolkit for Medical Image Analysis.
Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
- MedicalTorch (🥉15 · ⭐ 700 · 💀) - A medical imaging framework for Pytorch.
Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
- DeepNeuro (🥉14 · ⭐ 98 · 💤) - A deep learning python package for neuroimaging data. Made by:.
MIT
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
Libraries for optical character recognition (OCR) and text extraction from images or videos.
Tesseract (🥇30 · ⭐ 3.4K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2
-
GitHub (👨💻 36 · 🔀 500 · 📋 240 - 2% open · ⏱️ 04.01.2021):
git clone https://github.com/madmaze/pytesseract
-
PyPi (📥 440K / month · 📦 1.4K · ⏱️ 15.12.2020):
-
Conda (📥 38K · ⏱️ 20.11.2020):
conda install -c conda-forge pytesseract
EasyOCR (🥈27 · ⭐ 9.9K) - Ready-to-use OCR with 80+ supported languages and all popular.. Apache-2
OCRmyPDF (🥈27 · ⭐ 3.7K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
tesserocr (🥈26 · ⭐ 1.4K) - A Python wrapper for the tesseract-ocr API. MIT
-
GitHub (👨💻 23 · 🔀 180 · 📦 440 · 📋 200 - 29% open · ⏱️ 17.11.2020):
git clone https://github.com/sirfz/tesserocr
-
PyPi (📥 26K / month · 📦 50 · ⏱️ 17.03.2020):
-
Conda (📥 31K · ⏱️ 14.10.2020):
conda install -c conda-forge tesserocr
PaddleOCR (🥉24 · ⭐ 8.3K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
![](https://camo.githubusercontent.com/9d8bc42e3f1d9611b2d51d2ad22846e139e5e3e1187cf42612a5cb6ae2d389ff/68747470733a2f2f6769742e696f2f4a4c79314d)
attention-ocr (🥉20 · ⭐ 820) - A Tensorflow model for text recognition (CNN + seq2seq with.. MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
keras-ocr (🥉20 · ⭐ 740) - A packaged and flexible version of the CRAFT text detector and.. MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
doc2text (🥉19 · ⭐ 1.2K) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python module.. MIT
calamari (🥉18 · ⭐ 760) - Line based ATR Engine based on OCRopy. Apache-2
Show 1 hidden projects...
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
General-purpose data containers & structures as well as utilities & extensions for pandas.
pandas (🥇43 · ⭐ 28K) - Flexible and powerful data analysis / manipulation library for.. BSD-3
![](https://camo.githubusercontent.com/6e52e7cbf423c1044ceafbf4045895d00974de2025bb8aaec1c432a085c052d4/68747470733a2f2f6769742e696f2f4a4c793153)
-
GitHub (👨💻 2.6K · 🔀 12K · 📥 73K · 📦 360K · 📋 20K - 17% open · ⏱️ 12.01.2021):
git clone https://github.com/pandas-dev/pandas
-
PyPi (📥 24M / month · 📦 77K · ⏱️ 26.12.2020):
-
Conda (📥 13M · ⏱️ 27.12.2020):
conda install -c conda-forge pandas
numpy (🥇42 · ⭐ 16K) - The fundamental package for scientific computing with Python. BSD-3
-
GitHub (👨💻 1.2K · 🔀 5.2K · 📥 290K · 📦 600K · 📋 9.5K - 23% open · ⏱️ 11.01.2021):
git clone https://github.com/numpy/numpy
-
PyPi (📥 39M / month · 📦 170K · ⏱️ 05.01.2021):
-
Conda (📥 15M · ⏱️ 11.01.2021):
conda install -c conda-forge numpy
h5py (🥇36 · ⭐ 1.5K) - HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5.. BSD-3
-
GitHub (👨💻 160 · 🔀 390 · 📥 770 · 📦 98K · 📋 1.1K - 16% open · ⏱️ 11.01.2021):
git clone https://github.com/h5py/h5py
-
PyPi (📥 5.3M / month · 📦 23K · ⏱️ 06.11.2020):
-
Conda (📥 4.4M · ⏱️ 01.01.2021):
conda install -c conda-forge h5py
Arrow (🥈35 · ⭐ 6.9K) - Apache Arrow is a cross-language development platform for in-memory.. Apache-2
-
GitHub (👨💻 610 · 🔀 1.7K · 📦 29 · 📋 670 - 19% open · ⏱️ 12.01.2021):
git clone https://github.com/apache/arrow
-
PyPi (📥 14M / month · 📦 990 · ⏱️ 19.10.2020):
-
Conda (📥 450K · ⏱️ 12.01.2021):
conda install -c conda-forge arrow
xarray (🥈32 · ⭐ 1.9K) - N-D labeled arrays and datasets in Python. Apache-2
-
GitHub (👨💻 290 · 🔀 610 · 📦 4.8K · 📋 2.6K - 29% open · ⏱️ 12.01.2021):
git clone https://github.com/pydata/xarray
-
PyPi (📥 270K / month · 📦 1.1K · ⏱️ 30.11.2020):
-
Conda (📥 2.2M · ⏱️ 01.12.2020):
conda install -c conda-forge xarray
numexpr (🥈31 · ⭐ 1.5K) - Fast numerical array expression evaluator for Python, NumPy, PyTables,.. MIT
-
GitHub (👨💻 55 · 🔀 160 · 📋 300 - 17% open · ⏱️ 04.01.2021):
git clone https://github.com/pydata/numexpr
-
PyPi (📥 700K / month · 📦 5.5K · ⏱️ 05.01.2020):
-
Conda (📥 2M · ⏱️ 08.01.2021):
conda install -c conda-forge numexpr
Modin (🥈29 · ⭐ 5.6K) - Modin: Speed up your Pandas workflows by changing a single line of.. Apache-2
![](https://camo.githubusercontent.com/6e52e7cbf423c1044ceafbf4045895d00974de2025bb8aaec1c432a085c052d4/68747470733a2f2f6769742e696f2f4a4c793153)
TinyDB (🥈29 · ⭐ 3.9K) - TinyDB is a lightweight document oriented database optimized for your.. MIT
-
GitHub (👨💻 62 · 🔀 350 · 📋 250 - 5% open · ⏱️ 04.01.2021):
git clone https://github.com/msiemens/tinydb
-
PyPi (📥 130K / month · 📦 1.1K · ⏱️ 14.11.2020):
-
Conda (📥 99K · ⏱️ 14.11.2020):
conda install -c conda-forge tinydb
Koalas (🥈29 · ⭐ 2.6K) - Koalas: pandas API on Apache Spark. Apache-2
![](https://camo.githubusercontent.com/ad9aa9138d8bd3fca3d031f172857bd28a9822869eccb6560909950b9aaf767b/68747470733a2f2f6769742e696f2f4a4c79314e)
![](https://camo.githubusercontent.com/6e52e7cbf423c1044ceafbf4045895d00974de2025bb8aaec1c432a085c052d4/68747470733a2f2f6769742e696f2f4a4c793153)
-
GitHub (👨💻 47 · 🔀 290 · 📥 1K · 📦 70 · 📋 500 - 16% open · ⏱️ 12.01.2021):
git clone https://github.com/databricks/koalas
-
PyPi (📥 860K / month · 📦 1 · ⏱️ 11.12.2020):
-
Conda (📥 74K · ⏱️ 11.12.2020):
conda install -c conda-forge koalas
PyTables (🥈28 · ⭐ 1K) - A Python package to manage extremely large amounts of data. BSD-3
-
GitHub (👨💻 96 · 🔀 180 · 📥 120 · 📋 590 - 25% open · ⏱️ 10.01.2021):
git clone https://github.com/PyTables/PyTables
-
PyPi (📥 380K / month · 📦 3.8K · ⏱️ 30.10.2019):
-
Conda (📥 2.1M · ⏱️ 09.01.2021):
conda install -c conda-forge pytables
Bottleneck (🥈28 · ⭐ 570) - Fast NumPy array functions written in C. BSD-2
-
GitHub (👨💻 20 · 🔀 62 · 📦 18K · 📋 200 - 11% open · ⏱️ 25.11.2020):
git clone https://github.com/pydata/bottleneck
-
PyPi (📥 200K / month · 📦 2.9K · ⏱️ 21.02.2020):
-
Conda (📥 1.4M · ⏱️ 12.10.2020):
conda install -c conda-forge bottleneck
datasketch (🥉27 · ⭐ 1.4K) - MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog,.. MIT
zarr (🥉26 · ⭐ 620) - An implementation of chunked, compressed, N-dimensional arrays for Python. MIT
-
GitHub (👨💻 35 · 🔀 110 · 📦 510 · 📋 410 - 43% open · ⏱️ 04.01.2021):
git clone https://github.com/zarr-developers/zarr-python
-
PyPi (📥 18K / month · 📦 72 · ⏱️ 02.12.2020):
-
Conda (📥 520K · ⏱️ 03.12.2020):
conda install -c conda-forge zarr
swifter (🥉25 · ⭐ 1.5K) - A package which efficiently applies any function to a pandas.. MIT
![](https://camo.githubusercontent.com/6e52e7cbf423c1044ceafbf4045895d00974de2025bb8aaec1c432a085c052d4/68747470733a2f2f6769742e696f2f4a4c793153)
-
GitHub (👨💻 14 · 🔀 69 · 📦 270 · 📋 90 - 15% open · ⏱️ 19.12.2020):
git clone https://github.com/jmcarpenter2/swifter
-
PyPi (📥 51K / month · 📦 16 · ⏱️ 11.10.2020):
-
Conda (📥 73K · ⏱️ 20.09.2020):
conda install -c conda-forge swifter
bcolz (🥉25 · ⭐ 910 · ➕) - A columnar data container that can be compressed. BSD-3
-
GitHub (👨💻 33 · 🔀 120 · 📦 1.5K · 📋 250 - 51% open · ⏱️ 10.09.2020):
git clone https://github.com/Blosc/bcolz
-
PyPi (📥 20K / month · 📦 970 · ⏱️ 13.04.2018):
-
Conda (📥 200K · ⏱️ 05.11.2019):
conda install -c conda-forge bcolz
Pandaral·lel (🥉23 · ⭐ 1.3K) - A simple and efficient tool to parallelize Pandas.. BSD-3
![](https://camo.githubusercontent.com/6e52e7cbf423c1044ceafbf4045895d00974de2025bb8aaec1c432a085c052d4/68747470733a2f2f6769742e696f2f4a4c793153)
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
Vaex (🥉22 · ⭐ 5.6K) - Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data.. MIT
-
GitHub (👨💻 35 · 🔀 430 · 📥 200 · 📋 650 - 40% open · ⏱️ 08.01.2021):
git clone https://github.com/vaexio/vaex
-
PyPi (📥 3.5K / month · 📦 2 · ⏱️ 08.12.2020):
-
Conda (📥 94K · ⏱️ 01.06.2020):
conda install -c conda-forge vaex
datatable (🥉20 · ⭐ 1.1K) - A Python package for manipulating 2-dimensional tabular data.. MPL-2.0
fletcher (🥉20 · ⭐ 210) - Pandas ExtensionDType/Array backed by Apache Arrow. MIT
![](https://camo.githubusercontent.com/6e52e7cbf423c1044ceafbf4045895d00974de2025bb8aaec1c432a085c052d4/68747470733a2f2f6769742e696f2f4a4c793153)
-
GitHub (👨💻 23 · 🔀 32 · 📥 12 · 📦 3 · 📋 72 - 45% open · ⏱️ 29.12.2020):
git clone https://github.com/xhochy/fletcher
-
PyPi (📥 310 / month · ⏱️ 07.12.2020):
-
Conda (📥 18K · ⏱️ 29.12.2020):
conda install -c conda-forge fletcher
StaticFrame (🥉20 · ⭐ 200) - The StaticFrame library defines the Series and Frame, immutable data.. MIT
-
GitHub (👨💻 14 · 🔀 20 · 📦 5 · 📋 270 - 12% open · ⏱️ 12.01.2021):
git clone https://github.com/InvestmentSystems/static-frame
-
PyPi (📥 1.1K / month · ⏱️ 12.01.2021):
-
Conda (📥 60K · ⏱️ 12.01.2021):
conda install -c conda-forge static-frame
Bounter (🥉18 · ⭐ 890) - Efficient Counter that uses a limited (bounded) amount of memory.. MIT
PandaPy (🥉15 · ⭐ 470) - PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x.. MIT
![](https://camo.githubusercontent.com/6e52e7cbf423c1044ceafbf4045895d00974de2025bb8aaec1c432a085c052d4/68747470733a2f2f6769742e696f2f4a4c793153)
Show 6 hidden projects...
- Blaze (🥈28 · ⭐ 2.9K · 💀) - NumPy and Pandas interface to Big Data.
BSD-3
- sklearn-pandas (🥈28 · ⭐ 2.3K) - Pandas integration with sklearn.
❗️Zlib
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
![](https://camo.githubusercontent.com/6e52e7cbf423c1044ceafbf4045895d00974de2025bb8aaec1c432a085c052d4/68747470733a2f2f6769742e696f2f4a4c793153)
- Arctic (🥉24 · ⭐ 2.1K) - Arctic is a high performance datastore for numeric data.
❗️LGPL-2.1
- pandasql (🥉22 · ⭐ 930 · 💀) - sqldf for pandas.
MIT
![](https://camo.githubusercontent.com/6e52e7cbf423c1044ceafbf4045895d00974de2025bb8aaec1c432a085c052d4/68747470733a2f2f6769742e696f2f4a4c793153)
- pickleDB (🥉21 · ⭐ 530 · 💀) - pickleDB is an open source key-value store using Python's json..
BSD-3
- Pandas Summary (🥉21 · ⭐ 360 · 💀) - An extension to pandas dataframes describe function.
MIT
![](https://camo.githubusercontent.com/6e52e7cbf423c1044ceafbf4045895d00974de2025bb8aaec1c432a085c052d4/68747470733a2f2f6769742e696f2f4a4c793153)
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
Libraries for loading, collecting, and extracting data from a variety of data sources and formats.
Faker (🥇36 · ⭐ 12K) - Faker is a Python package that generates fake data for you. MIT
-
GitHub (👨💻 380 · 🔀 1.3K · 📦 22K · 📋 480 - 28% open · ⏱️ 12.01.2021):
git clone https://github.com/joke2k/faker
-
PyPi (📥 1.9M / month · 📦 4.7K · ⏱️ 12.01.2021):
-
Conda (📥 360K · ⏱️ 11.01.2021):
conda install -c conda-forge faker
xlrd (🥇33 · ⭐ 1.8K) - Please use openpyxl where you can... BSD-3
-
GitHub (👨💻 50 · 🔀 410 · 📦 61K · ⏱️ 12.12.2020):
git clone https://github.com/python-excel/xlrd
-
PyPi (📥 5.3M / month · 📦 14K · ⏱️ 11.12.2020):
-
Conda (📥 1.1M · ⏱️ 09.01.2021):
conda install -c conda-forge xlrd
xmltodict (🥇32 · ⭐ 4.2K · 💤) - Python module that makes working with XML feel like you are.. MIT
-
GitHub (👨💻 41 · 🔀 400 · 📦 20K · 📋 200 - 31% open · ⏱️ 26.04.2020):
git clone https://github.com/martinblech/xmltodict
-
PyPi (📥 3.9M / month · 📦 8.2K · ⏱️ 11.02.2019):
-
Conda (📥 600K · ⏱️ 11.02.2019):
conda install -c conda-forge xmltodict
Tablib (🥇32 · ⭐ 3.8K) - Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c. MIT
-
GitHub (👨💻 110 · 🔀 560 · 📦 9K · 📋 230 - 14% open · ⏱️ 11.12.2020):
git clone https://github.com/jazzband/tablib
-
PyPi (📥 550K / month · 📦 2.4K · ⏱️ 05.12.2020):
-
Conda (📥 56K · ⏱️ 05.12.2020):
conda install -c conda-forge tablib
TensorFlow Datasets (🥇32 · ⭐ 2.6K) - TFDS is a collection of datasets ready to use with.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
smart-open (🥈30 · ⭐ 1.9K) - Utils for streaming large files (S3, HDFS, gzip, bz2...). MIT
python-magic (🥈30 · ⭐ 1.8K) - A python wrapper for libmagic. MIT
-
GitHub (👨💻 47 · 🔀 210 · 📦 11K · 📋 150 - 18% open · ⏱️ 11.12.2020):
git clone https://github.com/ahupp/python-magic
-
PyPi (📥 1.4M / month · 📦 5.1K · ⏱️ 06.05.2020):
-
Conda (📥 74K · ⏱️ 24.12.2020):
conda install -c conda-forge python-magic
Datasets (🥈29 · ⭐ 6.4K) - The largest hub of ready-to-use NLP datasets for ML models with.. Apache-2
pandas-datareader (🥈29 · ⭐ 1.8K) - Extract data from a wide range of Internet sources.. BSD-3
![](https://camo.githubusercontent.com/6e52e7cbf423c1044ceafbf4045895d00974de2025bb8aaec1c432a085c052d4/68747470733a2f2f6769742e696f2f4a4c793153)
-
GitHub (👨💻 77 · 🔀 490 · 📦 7.4K · 📋 440 - 15% open · ⏱️ 31.12.2020):
git clone https://github.com/pydata/pandas-datareader
-
PyPi (📥 120K / month · 📦 1.4K · ⏱️ 10.07.2020):
pip install pandas-datareader
-
Conda (📥 85K · ⏱️ 20.11.2019):
conda install -c conda-forge pandas-datareader
csvkit (🥉27 · ⭐ 4.4K) - A suite of utilities for converting to and working with CSV, the king of.. MIT
-
GitHub (👨💻 91 · 🔀 540 · 📦 800 · 📋 800 - 7% open · ⏱️ 30.10.2020):
git clone https://github.com/wireservice/csvkit
-
PyPi (📥 26K / month · 📦 700 · ⏱️ 03.03.2020):
-
Conda (📥 45K · ⏱️ 28.05.2019):
conda install -c conda-forge csvkit
snorkel (🥉27 · ⭐ 4.4K) - A system for quickly generating training data with weak supervision. Apache-2
-
GitHub (👨💻 62 · 🔀 710 · 📥 490 · 📦 63 · 📋 940 - 3% open · ⏱️ 05.09.2020):
git clone https://github.com/snorkel-team/snorkel
-
PyPi (📥 68K / month · 📦 4 · ⏱️ 07.04.2020):
-
Conda (📥 15K · ⏱️ 10.04.2020):
conda install -c conda-forge snorkel
PDFMiner (🥉26 · ⭐ 4.5K · 💤) - Python PDF Parser (Not actively maintained). Check out pdfminer.six. MIT
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GitHub (👨💻 28 · 🔀 1K · 📦 2K · 📋 260 - 85% open · ⏱️ 18.01.2020):
git clone https://github.com/euske/pdfminer
-
PyPi (📥 170K / month · 📦 1.5K · ⏱️ 25.11.2019):
-
Conda (📥 13K · ⏱️ 03.11.2019):
conda install -c conda-forge pdfminer
tabulator-py (🥉26 · ⭐ 200 · ➕) - Python library for reading and writing tabular data via streams. MIT
-
GitHub (👨💻 24 · 🔀 40 · 📦 450 · ⏱️ 30.11.2020):
git clone https://github.com/frictionlessdata/tabulator-py
-
PyPi (📥 94K / month · 📦 100 · ⏱️ 30.11.2020):
-
Conda (📥 37K · ⏱️ 24.07.2018):
conda install -c conda-forge tabulator-py
Intake (🥉24 · ⭐ 520) - Intake is a lightweight package for finding, investigating, loading and.. BSD-2
-
GitHub (👨💻 51 · 🔀 91 · 📦 220 · 📋 260 - 28% open · ⏱️ 16.12.2020):
git clone https://github.com/intake/intake
-
PyPi (📥 2.6K / month · 📦 74 · ⏱️ 03.06.2020):
-
Conda (📥 55K · ⏱️ 03.06.2020):
conda install -c conda-forge intake
SDV (🥉21 · ⭐ 300) - Synthetic Data Generation for tabular, relational and time series data. MIT
datatest (🥉21 · ⭐ 230 · ➕) - Tools for test driven data-wrangling and data validation. Apache-2
Show 6 hidden projects...
- textract (🥉26 · ⭐ 2.9K · 💀) - extract text from any document. no muss. no fuss.
MIT
- Singer (🥉24 · ⭐ 660) - Standard for moving data between databases, web APIs, files, queues,..
❗️AGPL-3.0
- Camelot (🥉23 · ⭐ 3K · 💀) - Camelot: PDF Table Extraction for Humans.
MIT
- messytables (🥉23 · ⭐ 360 · 💀) - Tools for parsing messy tabular data. This is now superseded by..
MIT
- pyexcel-xlsx (🥉23 · ⭐ 83) - A wrapper library to read, manipulate and write data in xlsx and..
BSD-3
- rows (🥉20 · ⭐ 730 · ➕) - A common, beautiful interface to tabular data, no matter the format.
❗️LGPL-3.0
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
Libraries for web scraping, crawling, downloading, and mining as well as libraries.
🔗 best-of-web-python - Web Scraping ( ⭐ 2) - Collection of web-scraping and crawling libraries.
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.
Celery (🥇37 · ⭐ 17K) - Asynchronous task queue/job queue based on distributed message passing. BSD-3
-
GitHub (👨💻 1.1K · 🔀 3.9K · 📦 47K · 📋 4.4K - 11% open · ⏱️ 12.01.2021):
git clone https://github.com/celery/celery
-
PyPi (📥 2M / month · 📦 28K · ⏱️ 16.12.2020):
-
Conda (📥 360K · ⏱️ 11.11.2020):
conda install -c conda-forge celery
Airflow (🥇35 · ⭐ 20K) - Platform to programmatically author, schedule, and monitor workflows. Apache-2
-
GitHub (👨💻 1.7K · 🔀 7.8K · 📥 75K · 📋 2.8K - 35% open · ⏱️ 12.01.2021):
git clone https://github.com/apache/airflow
-
PyPi (📥 550K / month · 📦 290 · ⏱️ 14.12.2020):
pip install apache-airflow
-
Conda (📥 260K · ⏱️ 26.11.2020):
conda install -c conda-forge airflow
-
Docker Hub (📥 4M · ⭐ 200 · ⏱️ 12.01.2021):
docker pull apache/airflow
joblib (🥇35 · ⭐ 2.3K · ➕) - Computing with Python functions. BSD-3
-
GitHub (👨💻 98 · 🔀 290 · 📦 76K · 📋 640 - 45% open · ⏱️ 28.12.2020):
git clone https://github.com/joblib/joblib
-
PyPi (📥 16M / month · 📦 6.6K · ⏱️ 14.12.2020):
-
Conda (📥 2.8M · ⏱️ 14.12.2020):
conda install -c conda-forge joblib
luigi (🥇33 · ⭐ 14K) - Luigi is a Python module that helps you build complex pipelines of batch.. Apache-2
-
GitHub (👨💻 550 · 🔀 2.2K · 📦 1.3K · 📋 900 - 7% open · ⏱️ 29.12.2020):
git clone https://github.com/spotify/luigi
-
PyPi (📥 360K / month · 📦 680 · ⏱️ 23.09.2020):
-
Conda (📥 6.2K · ⏱️ 21.07.2020):
conda install -c anaconda luigi
rq (🥇33 · ⭐ 7.5K · ➕) - Simple job queues for Python. BSD-3
-
GitHub (👨💻 220 · 🔀 1.2K · 📦 7.1K · 📋 810 - 17% open · ⏱️ 09.01.2021):
git clone https://github.com/rq/rq
-
PyPi (📥 230K / month · 📦 3.3K · ⏱️ 29.11.2020):
-
Conda (📥 43K · ⏱️ 29.11.2020):
conda install -c conda-forge rq
Beam (🥈32 · ⭐ 4.5K) - Unified programming model to define and execute data processing.. Apache-2
Prefect (🥈30 · ⭐ 5.7K) - The easiest way to automate your data. Apache-2
-
GitHub (👨💻 170 · 🔀 480 · 📦 230 · 📋 1.5K - 14% open · ⏱️ 12.01.2021):
git clone https://github.com/PrefectHQ/prefect
-
PyPi (📥 35K / month · 📦 2 · ⏱️ 06.01.2021):
-
Conda (📥 65K · ⏱️ 06.01.2021):
conda install -c conda-forge prefect
mrjob (🥈30 · ⭐ 2.5K) - Run MapReduce jobs on Hadoop or Amazon Web Services. Apache-2
-
GitHub (👨💻 140 · 🔀 590 · 📦 650 · 📋 1.3K - 15% open · ⏱️ 16.11.2020):
git clone https://github.com/Yelp/mrjob
-
PyPi (📥 110K / month · 📦 110 · ⏱️ 17.09.2020):
-
Conda (📥 310K · ⏱️ 24.12.2020):
conda install -c conda-forge mrjob
Kedro (🥈28 · ⭐ 3.3K) - A Python framework for creating reproducible, maintainable and modular.. Apache-2
dbt (🥈28 · ⭐ 2.3K) - dbt (data build tool) enables data analysts and engineers to transform.. Apache-2
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GitHub (👨💻 130 · 🔀 470 · 📦 170 · 📋 1.7K - 15% open · ⏱️ 12.01.2021):
git clone https://github.com/fishtown-analytics/dbt
-
PyPi (📥 95K / month · 📦 18 · ⏱️ 29.12.2020):
-
Conda (📥 150K · ⏱️ 14.05.2020):
conda install -c conda-forge dbt
faust (🥈27 · ⭐ 5.2K · 📉) - Python Stream Processing. BSD-3
petl (🥈27 · ⭐ 810) - Python Extract Transform and Load Tables of Data. MIT
-
GitHub (👨💻 43 · 🔀 150 · 📦 310 · 📋 410 - 16% open · ⏱️ 29.12.2020):
git clone https://github.com/petl-developers/petl
-
PyPi (📥 13K / month · 📦 110 · ⏱️ 06.10.2020):
-
Conda (📥 19K · ⏱️ 29.12.2020):
conda install -c conda-forge petl
Dagster (🥈26 · ⭐ 2.5K) - A data orchestrator for machine learning, analytics, and ETL. Apache-2
-
GitHub (👨💻 110 · 🔀 260 · 📦 130 · 📋 2.4K - 25% open · ⏱️ 12.01.2021):
git clone https://github.com/dagster-io/dagster
-
PyPi (📥 26K / month · 📦 4 · ⏱️ 11.12.2020):
-
Conda (📥 120K · ⏱️ 04.12.2020):
conda install -c conda-forge dagster
PyFunctional (🥈26 · ⭐ 1.8K) - Python library for creating data pipelines with chain functional.. MIT
TFX (🥈26 · ⭐ 1.3K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
streamparse (🥉25 · ⭐ 1.4K) - Run Python in Apache Storm topologies. Pythonic API, CLI.. Apache-2
Great Expectations (🥉23 · ⭐ 3.4K) - Always know what to expect from your data. Apache-2
bonobo (🥉23 · ⭐ 1.4K) - Extract Transform Load for Python 3.5+. Apache-2
Optimus (🥉23 · ⭐ 960) - Agile Data Preparation Workflows madeeasy with dask, cudf,.. Apache-2
![](https://camo.githubusercontent.com/ad9aa9138d8bd3fca3d031f172857bd28a9822869eccb6560909950b9aaf767b/68747470733a2f2f6769742e696f2f4a4c79314e)
pysparkling (🥉23 · ⭐ 230) - A pure Python implementation of Apache Spark's RDD and DStream.. MIT
Pypeline (🥉21 · ⭐ 1.2K) - Concurrent data pipelines in Python . MIT
dpark (🥉20 · ⭐ 2.6K · ➕) - Python clone of Spark, a MapReduce alike framework in Python. BSD-3
![](https://camo.githubusercontent.com/ad9aa9138d8bd3fca3d031f172857bd28a9822869eccb6560909950b9aaf767b/68747470733a2f2f6769742e696f2f4a4c79314e)
mrq (🥉20 · ⭐ 830 · ➕) - Mr. Queue - A distributed worker task queue in Python using Redis & gevent. MIT
pdpipe (🥉20 · ⭐ 580) - Easy pipelines for pandas DataFrames. MIT
![](https://camo.githubusercontent.com/6e52e7cbf423c1044ceafbf4045895d00974de2025bb8aaec1c432a085c052d4/68747470733a2f2f6769742e696f2f4a4c793153)
riko (🥉19 · ⭐ 1.6K) - A Python stream processing engine modeled after Yahoo! Pipes. MIT
TaskTiger (🥉19 · ⭐ 1K) - Python task queue using Redis. MIT
Databolt Flow (🥉19 · ⭐ 890) - Python library for building highly effective data science workflows. MIT
spark-deep-learning (🥉18 · ⭐ 1.8K · ➕) - Deep Learning Pipelines for Apache Spark. Apache-2
![](https://camo.githubusercontent.com/ad9aa9138d8bd3fca3d031f172857bd28a9822869eccb6560909950b9aaf767b/68747470733a2f2f6769742e696f2f4a4c79314e)
flupy (🥉18 · ⭐ 150 · ➕) - Fluent data pipelines for python and your shell. MIT
Mara Pipelines (🥉17 · ⭐ 1.6K) - A lightweight opinionated ETL framework, halfway between plain.. MIT
BatchFlow (🥉17 · ⭐ 150) - BatchFlow helps you conveniently work with random or sequential.. Apache-2
zenml (🥉15 · ⭐ 370 · 🐣) - ZenML: Bring Zen to your ML with reproducible pipelines. Apache-2
Show 2 hidden projects...
- ploomber (🥉18 · ⭐ 110 · ➕) - A convention over configuration workflow orchestrator. Develop..
Apache-2
- Botflow (🥉15 · ⭐ 1.2K · 💀) - Python Fast Dataflow programming framework for Data pipeline work(..
BSD-3
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure.
dask (🥇35 · ⭐ 7.7K) - Parallel computing with task scheduling. BSD-3
-
GitHub (👨💻 420 · 🔀 1.2K · 📦 24K · 📋 3.5K - 20% open · ⏱️ 11.01.2021):
git clone https://github.com/dask/dask
-
PyPi (📥 1.2M / month · 📦 3.9K · ⏱️ 11.12.2020):
-
Conda (📥 2.8M · ⏱️ 11.12.2020):
conda install -c conda-forge dask
dask.distributed (🥇34 · ⭐ 1.1K · ➕) - A distributed task scheduler for Dask. BSD-3
-
GitHub (👨💻 230 · 🔀 500 · 📦 16K · 📋 2K - 35% open · ⏱️ 12.01.2021):
git clone https://github.com/dask/distributed
-
PyPi (📥 690K / month · 📦 1.8K · ⏱️ 11.12.2020):
-
Conda (📥 3.5M · ⏱️ 11.12.2020):
conda install -c conda-forge distributed
Ray (🥇33 · ⭐ 14K) - An open source framework that provides a simple, universal API for.. Apache-2
horovod (🥈30 · ⭐ 11K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2
ipyparallel (🥈29 · ⭐ 1.8K) - Interactive Parallel Computing in Python. BSD-3
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
-
GitHub (👨💻 94 · 🔀 720 · 📦 1.4K · 📋 250 - 56% open · ⏱️ 24.08.2020):
git clone https://github.com/ipython/ipyparallel
-
PyPi (📥 72K / month · 📦 490 · ⏱️ 05.05.2020):
-
Conda (📥 360K · ⏱️ 14.12.2020):
conda install -c conda-forge ipyparallel
dask-ml (🥈26 · ⭐ 680) - Scalable Machine Learning with Dask. BSD-3
-
GitHub (👨💻 61 · 🔀 180 · 📦 320 · 📋 370 - 46% open · ⏱️ 05.01.2021):
git clone https://github.com/dask/dask-ml
-
PyPi (📥 35K / month · 📦 42 · ⏱️ 24.09.2020):
-
Conda (📥 190K · ⏱️ 24.09.2020):
conda install -c conda-forge dask-ml
Mesh (🥈26 · ⭐ 620) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
TensorFlowOnSpark (🥈25 · ⭐ 3.6K · 📈) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
![](https://camo.githubusercontent.com/ad9aa9138d8bd3fca3d031f172857bd28a9822869eccb6560909950b9aaf767b/68747470733a2f2f6769742e696f2f4a4c79314e)
mpi4py (🥈25 · ⭐ 370) - Python bindings for MPI. BSD-3
-
GitHub (👨💻 13 · 🔀 61 · 📥 640 · 📋 4 - 25% open · ⏱️ 12.01.2021):
git clone https://github.com/mpi4py/mpi4py
-
PyPi (📥 140K / month · 📦 700 · ⏱️ 04.11.2019):
-
Conda (📥 500K · ⏱️ 08.01.2021):
conda install -c conda-forge mpi4py
BigDL (🥈24 · ⭐ 3.7K) - BigDL: Distributed Deep Learning Framework for Apache Spark. Apache-2
petastorm (🥈24 · ⭐ 1K · ➕) - Petastorm library enables single machine or distributed.. Apache-2
DeepSpeed (🥉23 · ⭐ 3.9K) - DeepSpeed is a deep learning optimization library that makes.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
-
GitHub (👨💻 37 · 🔀 350 · 📦 8 · 📋 250 - 40% open · ⏱️ 12.01.2021):
git clone https://github.com/microsoft/DeepSpeed
-
PyPi (📥 1.4K / month · ⏱️ 08.01.2021):
-
Docker Hub (📥 6.6K · ⭐ 2 · ⏱️ 20.11.2020):
docker pull deepspeed/deepspeed
MMLSpark (🥉23 · ⭐ 2.2K) - Microsoft Machine Learning for Apache Spark. MIT
![](https://camo.githubusercontent.com/ad9aa9138d8bd3fca3d031f172857bd28a9822869eccb6560909950b9aaf767b/68747470733a2f2f6769742e696f2f4a4c79314e)
Elephas (🥉23 · ⭐ 1.4K) - Distributed Deep learning with Keras & Spark. MIT
keras
![](https://camo.githubusercontent.com/ad9aa9138d8bd3fca3d031f172857bd28a9822869eccb6560909950b9aaf767b/68747470733a2f2f6769742e696f2f4a4c79314e)
analytics-zoo (🥉22 · ⭐ 2.2K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2
![](https://camo.githubusercontent.com/ad9aa9138d8bd3fca3d031f172857bd28a9822869eccb6560909950b9aaf767b/68747470733a2f2f6769742e696f2f4a4c79314e)
Submit it (🥉20 · ⭐ 290) - Python 3.6+ toolbox for submitting jobs to Slurm. MIT
-
GitHub (👨💻 8 · 🔀 17 · 📦 73 · 📋 23 - 39% open · ⏱️ 07.01.2021):
git clone https://github.com/facebookincubator/submitit
-
PyPi (📥 2.2K / month · ⏱️ 01.12.2020):
-
Conda (📥 750 · ⏱️ 19.11.2020):
conda install -c conda-forge submitit
BytePS (🥉19 · ⭐ 2.6K) - A high performance and generic framework for distributed DNN training. Apache-2
-
GitHub (👨💻 16 · 🔀 360 · 📋 210 - 35% open · ⏱️ 10.01.2021):
git clone https://github.com/bytedance/byteps
-
PyPi (📥 66 / month · ⏱️ 04.11.2020):
-
Docker Hub (📥 950 · ⏱️ 03.03.2020):
docker pull bytepsimage/tensorflow
Apache Singa (🥉19 · ⭐ 2.2K) - a distributed deep learning platform. Apache-2
-
GitHub (👨💻 70 · 🔀 570 · 📋 81 - 60% open · ⏱️ 11.12.2020):
git clone https://github.com/apache/singa
-
Conda (📥 240 · ⏱️ 12.01.2021):
conda install -c nusdbsystem singa
-
Docker Hub (📥 160 · ⭐ 2 · ⏱️ 04.06.2019):
FairScale (🥉18 · ⭐ 630 · 🐣) - PyTorch extensions for high performance and large scale.. BSD-3
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
sk-dist (🥉18 · ⭐ 250) - Distributed scikit-learn meta-estimators in PySpark. Apache-2
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
![](https://camo.githubusercontent.com/ad9aa9138d8bd3fca3d031f172857bd28a9822869eccb6560909950b9aaf767b/68747470733a2f2f6769742e696f2f4a4c79314e)
Fiber (🥉17 · ⭐ 830) - Distributed Computing for AI Made Simple. Apache-2
somoclu (🥉17 · ⭐ 220 · ➕) - Massively parallel self-organizing maps: accelerate training on.. MIT
-
GitHub (👨💻 17 · 🔀 55 · 📥 1.4K · 📋 130 - 19% open · ⏱️ 24.07.2020):
git clone https://github.com/peterwittek/somoclu
-
PyPi (📥 1.3K / month · 📦 2 · ⏱️ 25.04.2020):
-
Conda (📥 39K · ⏱️ 13.10.2020):
conda install -c conda-forge somoclu
Hivemind (🥉16 · ⭐ 640) - Decentralized deep learning in PyTorch. Built to train models on.. MIT
Show 3 hidden projects...
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
Libraries for hyperparameter optimization, automl and neural architecture search.
Optuna (🥇31 · ⭐ 3.9K) - A hyperparameter optimization framework. MIT
-
GitHub (👨💻 120 · 🔀 440 · 📦 850 · 📋 640 - 27% open · ⏱️ 12.01.2021):
git clone https://github.com/optuna/optuna
-
PyPi (📥 160K / month · 📦 52 · ⏱️ 04.11.2020):
-
Conda (📥 16K · ⏱️ 11.11.2020):
conda install -c conda-forge optuna
scikit-optimize (🥇31 · ⭐ 2K) - Sequential model-based optimization with a `scipy.optimize`.. BSD-3
-
GitHub (👨💻 68 · 🔀 370 · 📦 1.3K · 📋 520 - 31% open · ⏱️ 31.12.2020):
git clone https://github.com/scikit-optimize/scikit-optimize
-
PyPi (📥 480K / month · 📦 160 · ⏱️ 04.09.2020):
pip install scikit-optimize
-
Conda (📥 180K · ⏱️ 04.09.2020):
conda install -c conda-forge scikit-optimize
Hyperopt (🥇30 · ⭐ 5.3K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3
-
GitHub (👨💻 84 · 🔀 840 · 📦 2.5K · 📋 550 - 60% open · ⏱️ 24.12.2020):
git clone https://github.com/hyperopt/hyperopt
-
PyPi (📥 400K / month · 📦 500 · ⏱️ 07.10.2020):
-
Conda (📥 150K · ⏱️ 14.10.2020):
conda install -c conda-forge hyperopt
featuretools (🥇28 · ⭐ 5.3K) - An open source python library for automated feature engineering. BSD-3
-
GitHub (👨💻 49 · 🔀 690 · 📦 650 · 📋 500 - 22% open · ⏱️ 12.01.2021):
git clone https://github.com/alteryx/featuretools
-
PyPi (📥 64K / month · 📦 70 · ⏱️ 31.12.2020):
-
Conda (📥 43K · ⏱️ 05.01.2021):
conda install -c conda-forge featuretools
Keras Tuner (🥇28 · ⭐ 2.2K) - Hyperparameter tuning for humans. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
NNI (🥈27 · ⭐ 8.7K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT
AutoKeras (🥈27 · ⭐ 7.7K) - AutoML library for deep learning. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
auto-sklearn (🥈26 · ⭐ 5.1K) - Automated Machine Learning with scikit-learn. BSD-3
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
Bayesian Optimization (🥈26 · ⭐ 4.8K) - A Python implementation of global optimization with.. MIT
AutoGluon (🥈26 · ⭐ 2.9K) - AutoGluon: AutoML for Text, Image, and Tabular Data. Apache-2
![](https://camo.githubusercontent.com/f0af627f2b3bbbdfdf76bfd6649e45dc3cdcc25dc96aa53e49a18328fcd6a561/68747470733a2f2f6769742e696f2f4a4c793158)
BoTorch (🥈26 · ⭐ 1.8K) - Bayesian optimization in PyTorch. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
SMAC3 (🥈26 · ⭐ 550) - Sequential Model-based Algorithm Configuration. BSD-3
nevergrad (🥈25 · ⭐ 2.8K · 📉) - A Python toolbox for performing gradient-free optimization. MIT
-
GitHub (👨💻 42 · 🔀 270 · 📦 110 · 📋 190 - 39% open · ⏱️ 07.01.2021):
git clone https://github.com/facebookresearch/nevergrad
-
PyPi (📥 7.4K / month · 📦 14 · ⏱️ 10.12.2020):
-
Conda (📥 5.6K · ⏱️ 14.12.2020):
conda install -c conda-forge nevergrad
Ax (🥈25 · ⭐ 1.4K) - Adaptive Experimentation Platform. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Hyperas (🥈24 · ⭐ 2.1K) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
GPyOpt (🥈24 · ⭐ 700) - Gaussian Process Optimization using GPy. BSD-3
Talos (🥉22 · ⭐ 1.4K) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
Orion (🥉22 · ⭐ 180) - Asynchronous Distributed Hyperparameter Optimization. BSD-3
AdaNet (🥉21 · ⭐ 3.2K) - Fast and flexible AutoML with learning guarantees. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
optunity (🥉21 · ⭐ 360 · 💤) - optimization routines for hyperparameter tuning. BSD-3
Neuraxle (🥉21 · ⭐ 350) - A Sklearn-like Framework for Hyperparameter Tuning and AutoML in.. Apache-2
mljar-supervised (🥉20 · ⭐ 740) - Automates Machine Learning Pipeline with Feature Engineering.. MIT
Auto ViML (🥉20 · ⭐ 200) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2
Test Tube (🥉18 · ⭐ 640 · 💤) - Python library to easily log experiments and parallelize.. MIT
lazypredict (🥉18 · ⭐ 300 · ➕) - Lazy Predict help build a lot of basic models without much.. MIT
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
Dragonfly (🥉17 · ⭐ 550) - An open source python library for scalable Bayesian optimisation. MIT
HyperparameterHunter (🥉16 · ⭐ 630) - Easy hyperparameter optimization and automatic result.. MIT
AlphaPy (🥉16 · ⭐ 540) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2
Auto Tune Models (🥉16 · ⭐ 500 · 💤) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT
Parfit (🥉15 · ⭐ 200 · 💤) - A package for parallelizing the fit and flexibly scoring of.. MIT
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
ENAS (🥉14 · ⭐ 2.4K · 💤) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2
Devol (🥉11 · ⭐ 930) - Genetic neural architecture search with Keras. MIT
Show 13 hidden projects...
- TPOT (🥇30 · ⭐ 7.7K · 📈) - A Python Automated Machine Learning tool that optimizes..
❗️LGPL-3.0
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
- MLBox (🥈23 · ⭐ 1.2K) - MLBox is a powerful Automated Machine Learning python library.
❗️BSD-1-Clause
- auto_ml (🥉21 · ⭐ 1.5K · 💀) - [UNMAINTAINED] Automated machine learning for analytics & production.
MIT
- HpBandSter (🥉19 · ⭐ 440 · 💀) - a distributed Hyperband implementation on Steroids.
BSD-3
- Advisor (🥉17 · ⭐ 1.3K · 💀) - Open-source implementation of Google Vizier for hyper parameters..
Apache-2
- sklearn-deap (🥉17 · ⭐ 620 · 💀) - Use evolutionary algorithms instead of gridsearch in..
MIT
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
- Sherpa (🥉17 · ⭐ 280) - Hyperparameter optimization that enables researchers to experiment,..
❗️GPL-3.0
- automl-gs (🥉16 · ⭐ 1.7K · 💀) - Provide an input CSV and a target field to predict, generate a..
MIT
- Xcessiv (🥉16 · ⭐ 1.3K · 💀) - A web-based application for quick, scalable, and automated..
Apache-2
- Auptimizer (🥉13 · ⭐ 150) - An automatic ML model optimization tool.
❗️GPL-3.0
- Hypermax (🥉13 · ⭐ 96) - Better, faster hyper-parameter optimization.
BSD-3
- featurewiz (🥉12 · ⭐ 17 · 🐣) - Select the best features from your data set fast with a single..
Apache-2
- Hypertunity (🥉10 · ⭐ 120 · 💤) - A toolset for black-box hyperparameter optimisation.
Apache-2
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
Libraries for building and evaluating reinforcement learning & agent-based systems.
OpenAI Gym (🥇35 · ⭐ 23K) - A toolkit for developing and comparing reinforcement learning.. MIT
baselines (🥇28 · ⭐ 11K · 💤) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT
Dopamine (🥈27 · ⭐ 9.3K) - Dopamine is a research framework for fast prototyping of.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
TensorLayer (🥈27 · ⭐ 6.5K) - Deep Learning and Reinforcement Learning Library for.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
TF-Agents (🥈27 · ⭐ 1.8K) - TF-Agents is a library for Reinforcement Learning in.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
Stable Baselines (🥈25 · ⭐ 2.8K) - A fork of OpenAI Baselines, implementations of reinforcement.. MIT
ViZDoom (🥈25 · ⭐ 1.2K) - Doom-based AI Research Platform for Reinforcement Learning from Raw.. MIT
TensorForce (🥉24 · ⭐ 2.8K) - Tensorforce: a TensorFlow library for applied.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
Acme (🥉23 · ⭐ 1.9K) - A library of reinforcement learning components and agents. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
garage (🥉23 · ⭐ 1K) - A toolkit for reproducible reinforcement learning research. MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
ChainerRL (🥉23 · ⭐ 920) - ChainerRL is a deep reinforcement learning library built on top of.. MIT
PARL (🥉21 · ⭐ 1.8K · 📈) - A high-performance distributed training framework for.. Apache-2
![](https://camo.githubusercontent.com/9d8bc42e3f1d9611b2d51d2ad22846e139e5e3e1187cf42612a5cb6ae2d389ff/68747470733a2f2f6769742e696f2f4a4c79314d)
TRFL (🥉20 · ⭐ 3.1K · 💤) - TensorFlow Reinforcement Learning. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
Coach (🥉19 · ⭐ 1.9K) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2
PFRL (🥉19 · ⭐ 480) - PFRL: a PyTorch-based deep reinforcement learning library. MIT
ReAgent (🥉16 · ⭐ 2.7K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
RLax (🥉16 · ⭐ 540) - A library of reinforcement learning building blocks in JAX. Apache-2
jax
Show 2 hidden projects...
- keras-rl (🥈26 · ⭐ 4.9K · 💀) - Deep Reinforcement Learning for Keras.
MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
- DeepMind Lab (🥉17 · ⭐ 6.4K) - A customisable 3D platform for agent-based AI research.
❗️GPL-2.0
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
Libraries for building and evaluating recommendation systems.
implicit (🥇28 · ⭐ 2.2K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT
-
GitHub (👨💻 28 · 🔀 450 · 📦 340 · 📋 330 - 23% open · ⏱️ 15.11.2020):
git clone https://github.com/benfred/implicit
-
PyPi (📥 95K / month · 📦 22 · ⏱️ 15.09.2020):
-
Conda (📥 180K · ⏱️ 24.11.2020):
conda install -c conda-forge implicit
lightfm (🥇27 · ⭐ 3.5K) - A Python implementation of LightFM, a hybrid recommendation algorithm. Apache-2
-
GitHub (👨💻 42 · 🔀 560 · 📦 380 · 📋 400 - 31% open · ⏱️ 27.11.2020):
git clone https://github.com/lyst/lightfm
-
PyPi (📥 92K / month · 📦 28 · ⏱️ 27.11.2020):
-
Conda (📥 72K · ⏱️ 07.12.2020):
conda install -c conda-forge lightfm
scikit-surprise (🥈26 · ⭐ 4.6K) - A Python scikit for building and analyzing recommender.. BSD-3
-
GitHub (👨💻 38 · 🔀 810 · 📦 860 · 📋 320 - 10% open · ⏱️ 05.08.2020):
git clone https://github.com/NicolasHug/Surprise
-
PyPi (📥 39K / month · 📦 24 · ⏱️ 19.07.2020):
pip install scikit-surprise
-
Conda (📥 150K · ⏱️ 13.10.2020):
conda install -c conda-forge scikit-surprise
Recommenders (🥈21 · ⭐ 9K) - Best Practices on Recommendation Systems. MIT
TF Ranking (🥈21 · ⭐ 2K) - Learning to Rank in TensorFlow. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
tensorrec (🥈21 · ⭐ 1.1K · 💤) - A TensorFlow recommendation algorithm and framework in.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
fastFM (🥉20 · ⭐ 890 · 💤) - fastFM: A Library for Factorization Machines. BSD-3
RecBole (🥉20 · ⭐ 680) - A unified, comprehensive and efficient recommendation library. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
-
GitHub (👨💻 27 · 🔀 94 · 📋 60 - 38% open · ⏱️ 12.01.2021):
git clone https://github.com/RUCAIBox/RecBole
-
PyPi (📥 86 / month · ⏱️ 06.12.2020):
-
Conda (📥 170 · ⏱️ 06.12.2020):
conda install -c aibox recbole
TF Recommenders (🥉19 · ⭐ 690) - TensorFlow Recommenders is a library for building.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
recmetrics (🥉19 · ⭐ 230) - A library of metrics for evaluating recommender systems. MIT
Spotlight (🥉18 · ⭐ 2.4K · 💤) - Deep recommender models using PyTorch. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
OpenRec (🥉16 · ⭐ 350 · 💤) - OpenRec is an open-source and modular library for neural network-.. Apache-2
Case Recommender (🥉16 · ⭐ 310 · 💤) - Case Recommender: A Flexible and Extensible Python.. MIT
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy.
PySyft (🥇26 · ⭐ 6.7K) - A library for answering questions using data you cannot see. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
TensorFlow Privacy (🥈21 · ⭐ 1.3K) - Library for training machine learning models with.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
TFEncrypted (🥈21 · ⭐ 810) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
Opacus (🥈21 · ⭐ 710) - Training PyTorch models with differential privacy. Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
FATE (🥉20 · ⭐ 2.7K) - An Industrial Grade Federated Learning Framework. Apache-2
CrypTen (🥉16 · ⭐ 690) - A framework for Privacy Preserving Machine Learning. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
Libraries to organize, track, and visualize machine learning experiments.
Tensorboard (🥇36 · ⭐ 5.1K) - TensorFlow's Visualization Toolkit. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
-
GitHub (👨💻 250 · 🔀 1.3K · 📦 51K · 📋 1.5K - 38% open · ⏱️ 12.01.2021):
git clone https://github.com/tensorflow/tensorboard
-
PyPi (📥 5.2M / month · 📦 3.6K · ⏱️ 12.11.2020):
-
Conda (📥 1.5M · ⏱️ 12.11.2020):
conda install -c conda-forge tensorboard
mlflow (🥇34 · ⭐ 8.1K) - Open source platform for the machine learning lifecycle. Apache-2
-
GitHub (👨💻 270 · 🔀 1.8K · 📦 1.8K · 📋 1.7K - 38% open · ⏱️ 12.01.2021):
git clone https://github.com/mlflow/mlflow
-
PyPi (📥 2.5M / month · 📦 150 · ⏱️ 31.12.2020):
-
Conda (📥 200K · ⏱️ 11.01.2021):
conda install -c conda-forge mlflow
DVC (🥇30 · ⭐ 7K) - Data Version Control | Git for Data & Models. Apache-2
-
GitHub (👨💻 200 · 🔀 660 · 📥 17K · 📦 520 · 📋 2.6K - 18% open · ⏱️ 12.01.2021):
git clone https://github.com/iterative/dvc
-
PyPi (📥 49K / month · 📦 46 · ⏱️ 05.01.2021):
-
Conda (📥 440K · ⏱️ 05.01.2021):
conda install -c conda-forge dvc
wandb client (🥇30 · ⭐ 2.6K · ➕) - A tool for visualizing and tracking your machine learning.. MIT
SageMaker SDK (🥇30 · ⭐ 1.3K) - A library for training and deploying machine learning.. Apache-2
![](https://camo.githubusercontent.com/f0af627f2b3bbbdfdf76bfd6649e45dc3cdcc25dc96aa53e49a18328fcd6a561/68747470733a2f2f6769742e696f2f4a4c793158)
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
kaggle (🥈29 · ⭐ 3.8K) - Official Kaggle API. Apache-2
-
GitHub (👨💻 35 · 🔀 760 · 📦 4.2K · 📋 270 - 60% open · ⏱️ 30.11.2020):
git clone https://github.com/Kaggle/kaggle-api
-
PyPi (📥 280K / month · 📦 560 · ⏱️ 30.11.2020):
-
Conda (📥 40K · ⏱️ 30.11.2020):
conda install -c conda-forge kaggle
sacred (🥈29 · ⭐ 3.3K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT
snakemake (🥈29 · ⭐ 800) - This is the development home of the workflow management system.. MIT
-
GitHub (👨💻 190 · 🔀 180 · 📦 720 · 📋 510 - 60% open · ⏱️ 12.01.2021):
git clone https://github.com/snakemake/snakemake
-
PyPi (📥 9.3K / month · 📦 290 · ⏱️ 21.12.2020):
-
Conda (📥 270K · ⏱️ 22.12.2020):
conda install -c bioconda snakemake
PyCaret (🥈28 · ⭐ 2.8K) - An open-source, low-code machine learning library in Python. MIT
AzureML SDK (🥈28 · ⭐ 2.1K) - Python notebooks with ML and deep learning examples with Azure.. MIT
tensorboardX (🥈27 · ⭐ 6.8K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT
-
GitHub (👨💻 64 · 🔀 770 · 📥 290 · 📦 9.7K · 📋 410 - 17% open · ⏱️ 05.07.2020):
git clone https://github.com/lanpa/tensorboardX
-
PyPi (📥 290K / month · 📦 1.3K · ⏱️ 31.12.2019):
-
Conda (📥 250K · ⏱️ 06.07.2020):
conda install -c conda-forge tensorboardx
Metaflow (🥈26 · ⭐ 4K) - Build and manage real-life data science projects with ease. Apache-2
-
GitHub (👨💻 28 · 🔀 310 · 📦 99 · 📋 250 - 43% open · ⏱️ 11.01.2021):
git clone https://github.com/Netflix/metaflow
-
PyPi (📥 38K / month · 📦 1 · ⏱️ 29.10.2020):
-
Conda (📥 10K · ⏱️ 12.11.2020):
conda install -c conda-forge metaflow
Catalyst (🥈26 · ⭐ 2.4K) - Accelerated deep learning R&D. Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
TNT (🥈25 · ⭐ 1.3K) - Simple tools for logging and visualizing, loading and training. BSD-3
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Hub (🥈24 · ⭐ 540 · ➕) - The fastest way to access and manage datasets for PyTorch and.. MPL-2.0
-
GitHub (👨💻 47 · 🔀 110 · 📦 110 · 📋 170 - 43% open · ⏱️ 12.01.2021):
git clone https://github.com/activeloopai/Hub
-
PyPi (📥 1.3K / month · 📦 52 · ⏱️ 10.01.2021):
-
Conda (📥 93K · ⏱️ 22.04.2020):
conda install -c conda-forge hub
ml-metadata (🥈24 · ⭐ 240) - For recording and retrieving metadata associated with ML.. Apache-2
VisualDL (🥉23 · ⭐ 3.2K) - Deep Learning Visualization Toolkit. Apache-2
![](https://camo.githubusercontent.com/9d8bc42e3f1d9611b2d51d2ad22846e139e5e3e1187cf42612a5cb6ae2d389ff/68747470733a2f2f6769742e696f2f4a4c79314d)
ClearML (🥉23 · ⭐ 2.1K) - ClearML - Auto-Magical Suite of tools to streamline your ML.. Apache-2
-
GitHub (👨💻 24 · 🔀 290 · 📥 250 · 📦 7 · 📋 240 - 37% open · ⏱️ 12.01.2021):
git clone https://github.com/allegroai/clearml
-
PyPi (📥 990 / month · ⏱️ 11.01.2021):
-
Docker Hub (📥 30K · ⏱️ 05.10.2020):
docker pull allegroai/trains
livelossplot (🥉23 · ⭐ 1K · ➕) - Live training loss plot in Jupyter Notebook for Keras,.. MIT
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
TensorWatch (🥉22 · ⭐ 3K) - Debugging, monitoring and visualization for Python Machine Learning.. MIT
knockknock (🥉22 · ⭐ 1.9K · 💤) - Knock Knock: Get notified when your training ends with only two.. MIT
-
GitHub (👨💻 18 · 🔀 160 · 📦 130 · 📋 33 - 36% open · ⏱️ 16.03.2020):
git clone https://github.com/huggingface/knockknock
-
PyPi (📥 1.4K / month · 📦 3 · ⏱️ 16.03.2020):
-
Conda (📥 5.3K · ⏱️ 17.03.2020):
conda install -c conda-forge knockknock
Guild AI (🥉22 · ⭐ 520) - Experiment tracking, ML developer tools. Apache-2
lore (🥉21 · ⭐ 1.5K · 💤) - Lore makes machine learning approachable for Software Engineers and.. MIT
gokart (🥉21 · ⭐ 160) - A wrapper of the data pipeline library luigi. MIT
hiddenlayer (🥉20 · ⭐ 1.4K · 💤) - Neural network graphs and training metrics for.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
Studio.ml (🥉20 · ⭐ 370) - Studio: Simplify and expedite model building process. Apache-2
Labml (🥉20 · ⭐ 350) - Monitor PyTorch & TensorFlow model training from your mobile phone. MIT
MXBoard (🥉19 · ⭐ 330 · 💤) - Logging MXNet data for visualization in TensorBoard. Apache-2
![](https://camo.githubusercontent.com/f0af627f2b3bbbdfdf76bfd6649e45dc3cdcc25dc96aa53e49a18328fcd6a561/68747470733a2f2f6769742e696f2f4a4c793158)
quinn (🥉19 · ⭐ 200 · ➕) - pyspark methods to enhance developer productivity. Apache-2
![](https://camo.githubusercontent.com/ad9aa9138d8bd3fca3d031f172857bd28a9822869eccb6560909950b9aaf767b/68747470733a2f2f6769742e696f2f4a4c79314e)
aim (🥉15 · ⭐ 670 · ➕) - Aim a super-easy way to record, search and compare 1000s of ML.. Apache-2
Show 6 hidden projects...
- TensorBoard Logger (🥉20 · ⭐ 610 · 💀) - Log TensorBoard events without touching TensorFlow.
MIT
- SKLL (🥉17 · ⭐ 520) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine..
❗️BSD-1-Clause
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
- datmo (🥉16 · ⭐ 330 · 💀) - Open source production model management tool for data scientists.
MIT
- steppy (🥉15 · ⭐ 120 · 💀) - Lightweight, Python library for fast and reproducible experimentation.
MIT
- ModelChimp (🥉13 · ⭐ 120 · 💀) - Experiment tracking for machine and deep learning projects.
BSD-2
- traintool (🥉11 · ⭐ 8 · 🐣) - Train off-the-shelf machine learning models in one..
Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
Libraries to serialize models to files, convert between a variety of model formats, and optimize models for deployment.
onnx (🥇33 · ⭐ 9.6K) - Open standard for machine learning interoperability. Apache-2
-
GitHub (👨💻 190 · 🔀 1.8K · 📥 9.8K · 📦 2.4K · 📋 1.4K - 35% open · ⏱️ 12.01.2021):
git clone https://github.com/onnx/onnx
-
PyPi (📥 320K / month · 📦 300 · ⏱️ 06.11.2020):
-
Conda (📥 180K · ⏱️ 11.01.2021):
conda install -c conda-forge onnx
Core ML Tools (🥇26 · ⭐ 2.1K) - Core ML tools contain supporting tools for Core ML model.. BSD-3
TorchServe (🥈24 · ⭐ 1.5K) - Model Serving on PyTorch. Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
-
GitHub (👨💻 61 · 🔀 220 · 📥 170 · 📦 26 · 📋 520 - 24% open · ⏱️ 24.12.2020):
git clone https://github.com/pytorch/serve
-
PyPi (📥 1.5K / month · ⏱️ 17.12.2020):
-
Conda (📥 5.9K · ⏱️ 17.12.2020):
conda install -c pytorch torchserve
-
Docker Hub (📥 50K · ⭐ 3 · ⏱️ 18.12.2020):
docker pull pytorch/torchserve
mmdnn (🥈22 · ⭐ 5.2K) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT
m2cgen (🥈22 · ⭐ 1.7K · ➕) - Transform ML models into a native code (Java, C, Python, Go,.. MIT
cortex (🥉21 · ⭐ 7.2K) - Run inference at scale. Apache-2
Hummingbird (🥉20 · ⭐ 2.2K) - Hummingbird compiles trained ML models into tensor computation for.. MIT
pytorch2keras (🥉18 · ⭐ 650 · 💤) - PyTorch to Keras model convertor. MIT
tfdeploy (🥉16 · ⭐ 350 · ➕) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
Show 2 hidden projects...
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
Libraries to visualize, explain, debug, evaluate, and interpret machine learning models.
shap (🥇33 · ⭐ 11K) - A game theoretic approach to explain the output of any machine learning model. MIT
-
GitHub (👨💻 140 · 🔀 1.6K · 📦 1.9K · 📋 1.4K - 64% open · ⏱️ 05.01.2021):
git clone https://github.com/slundberg/shap
-
PyPi (📥 780K / month · 📦 140 · ⏱️ 04.11.2020):
-
Conda (📥 350K · ⏱️ 16.12.2020):
conda install -c conda-forge shap
Lime (🥇29 · ⭐ 8.3K) - Lime: Explaining the predictions of any machine learning classifier. BSD-2
-
GitHub (👨💻 57 · 🔀 1.3K · 📦 990 · 📋 480 - 7% open · ⏱️ 12.01.2021):
git clone https://github.com/marcotcr/lime
-
PyPi (📥 170K / month · 📦 130 · ⏱️ 03.04.2020):
-
Conda (📥 62K · ⏱️ 28.06.2020):
conda install -c conda-forge lime
eli5 (🥇28 · ⭐ 2.3K · 💤) - A library for debugging/inspecting machine learning classifiers and.. MIT
-
GitHub (👨💻 14 · 🔀 280 · 📦 830 · 📋 240 - 53% open · ⏱️ 22.01.2020):
git clone https://github.com/TeamHG-Memex/eli5
-
PyPi (📥 250K / month · 📦 96 · ⏱️ 29.08.2019):
-
Conda (📥 85K · ⏱️ 15.06.2020):
conda install -c conda-forge eli5
pyLDAvis (🥇28 · ⭐ 1.4K) - Python library for interactive topic model visualization. Port of.. BSD-3
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
-
GitHub (👨💻 31 · 🔀 290 · 📦 1.7K · 📋 150 - 61% open · ⏱️ 02.12.2020):
git clone https://github.com/bmabey/pyLDAvis
-
PyPi (📥 62K / month · 📦 99 · ⏱️ 05.06.2018):
-
Conda (📥 21K · ⏱️ 22.06.2018):
conda install -c conda-forge pyldavis
InterpretML (🥇27 · ⭐ 3.4K) - Fit interpretable models. Explain blackbox machine learning. MIT
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
Model Analysis (🥇27 · ⭐ 1K) - Model analysis tools for TensorFlow. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
arviz (🥇27 · ⭐ 930 · ➕) - Exploratory analysis of Bayesian models with Python. Apache-2
-
GitHub (👨💻 62 · 🔀 170 · 📥 98 · 📦 660 · 📋 520 - 21% open · ⏱️ 10.01.2021):
git clone https://github.com/arviz-devs/arviz
-
PyPi (📥 110K / month · 📦 18 · ⏱️ 23.09.2020):
-
Conda (📥 160K · ⏱️ 24.09.2020):
conda install -c conda-forge arviz
Captum (🥈26 · ⭐ 2.1K · 📈) - Model interpretability and understanding for PyTorch. BSD-3
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
yellowbrick (🥈25 · ⭐ 3.1K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
dtreeviz (🥈25 · ⭐ 1.3K · ➕) - A python library for decision tree visualization and model.. MIT
Lucid (🥈24 · ⭐ 4K) - A collection of infrastructure and tools for research in neural.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
DoWhy (🥈24 · ⭐ 2.6K) - DoWhy is a Python library for causal inference that supports explicit.. MIT
-
GitHub (👨💻 37 · 🔀 360 · 📥 19 · 📦 24 · 📋 91 - 14% open · ⏱️ 24.12.2020):
git clone https://github.com/Microsoft/dowhy
-
PyPi (📥 7.9K / month · ⏱️ 12.12.2020):
-
Conda (📥 880 · ⏱️ 13.12.2020):
conda install -c conda-forge dowhy
Fairness 360 (🥈24 · ⭐ 1.2K) - A comprehensive set of fairness metrics for datasets and.. Apache-2
keras-vis (🥈23 · ⭐ 2.8K · 💤) - Neural network visualization toolkit for keras. MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
keract (🥈23 · ⭐ 840) - Activation Maps (Layers Outputs) and Gradients in Keras. MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
TreeInterpreter (🥈23 · ⭐ 640 · 📈) - Package for interpreting scikit-learn's decision tree.. BSD-3
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
random-forest-importances (🥈23 · ⭐ 400 · ➕) - Code to compute permutation and drop-column.. MIT
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
Alibi (🥉22 · ⭐ 850) - Algorithms for monitoring and explaining machine learning models. Apache-2
Explainability 360 (🥉22 · ⭐ 750) - Interpretability and explainability of data and machine.. Apache-2
iNNvestigate (🥉21 · ⭐ 750) - A toolbox to iNNvestigate neural networks' predictions!. BSD-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
fairlearn (🥉21 · ⭐ 650 · ➕) - A Python package to assess and improve fairness of machine.. MIT
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
-
GitHub (👨💻 29 · 🔀 160 · 📋 180 - 38% open · ⏱️ 12.01.2021):
git clone https://github.com/fairlearn/fairlearn
-
PyPi (📥 3.4K / month · 📦 1 · ⏱️ 10.11.2020):
-
Conda (📥 8.1K · ⏱️ 11.11.2020):
conda install -c conda-forge fairlearn
aequitas (🥉21 · ⭐ 340 · ➕) - Bias and Fairness Audit Toolkit. MIT
checklist (🥉20 · ⭐ 1.2K · ➕) - Beyond Accuracy: Behavioral Testing of NLP models with.. MIT
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
tf-explain (🥉20 · ⭐ 750) - Interpretability Methods for tf.keras models with Tensorflow 2.x. MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
deeplift (🥉20 · ⭐ 500 · ➕) - Public facing deeplift repo. MIT
sklearn-evaluation (🥉20 · ⭐ 290) - Machine learning model evaluation made easy: plots,.. MIT
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
explainerdashboard (🥉20 · ⭐ 240 · ➕) - Quickly build Explainable AI dashboards that show the.. MIT
What-If Tool (🥉18 · ⭐ 420) - Source code/webpage/demos for the What-If Tool. Apache-2
-
GitHub (👨💻 18 · 🔀 89 · 📋 70 - 51% open · ⏱️ 08.01.2021):
git clone https://github.com/PAIR-code/what-if-tool
-
PyPi (📥 2.1K / month · ⏱️ 28.06.2020):
-
NPM (📥 1.7K / month · ⏱️ 03.11.2020):
fairness-indicators (🥉18 · ⭐ 170 · ➕) - Tensorflow's Fairness Evaluation and Visualization.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
LIT (🥉17 · ⭐ 2.3K · 🐣) - The Language Interpretability Tool: Interactively analyze NLP models.. Apache-2
DiCE (🥉17 · ⭐ 430) - Generate Diverse Counterfactual Explanations for any machine.. MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
ExplainX.ai (🥉17 · ⭐ 160) - Explainable AI framework for data scientists. Explain & debug any.. MIT
FlashTorch (🥉16 · ⭐ 520 · 💤) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
tcav (🥉16 · ⭐ 420 · ➕) - Code for the TCAV ML interpretability project. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
LOFO (🥉16 · ⭐ 290) - Leave One Feature Out Importance. MIT
model-card-toolkit (🥉15 · ⭐ 150 · 🐣) - a tool that leverages rich metadata and lineage.. Apache-2
Anchor (🥉14 · ⭐ 610) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2
Show 6 hidden projects...
- scikit-plot (🥈23 · ⭐ 2K · 💀) - An intuitive library to add plotting functionality to scikit-..
MIT
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
- Skater (🥉20 · ⭐ 960 · 💤) - Python Library for Model Interpretation/Explanations.
❗️UPL-1.0
- DALEX (🥉18 · ⭐ 750 · ➕) - moDel Agnostic Language for Exploration and eXplanation.
❗️GPL-3.0
- XAI (🥉16 · ⭐ 550 · 💀) - XAI - An eXplainability toolbox for machine learning.
MIT
- contextual-ai (🥉13 · ⭐ 65 · ➕) - Contextual AI adds explainability to different stages of..
Apache-2
- Attribution Priors (🥉11 · ⭐ 72) - Tools for training explainable models using..
MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
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Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarity Search.
🔗 ANN Benchmarks ( ⭐ 2K) - Benchmarks of approximate nearest neighbor libraries in Python.
Faiss (🥇29 · ⭐ 12K · 📈) - A library for efficient similarity search and clustering of dense vectors. MIT
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GitHub (👨💻 72 · 🔀 2.1K · 📦 290 · 📋 1.3K - 7% open · ⏱️ 11.01.2021):
git clone https://github.com/facebookresearch/faiss
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PyPi (📥 5.5K / month · 📦 6 · ⏱️ 16.10.2020):
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Conda (📥 21K · ⏱️ 12.12.2020):
conda install -c conda-forge faiss
Annoy (🥇29 · ⭐ 8K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2
NMSLIB (🥈28 · ⭐ 2.2K) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2
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GitHub (👨💻 44 · 🔀 330 · 📦 310 · 📋 360 - 12% open · ⏱️ 08.01.2021):
git clone https://github.com/nmslib/nmslib
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PyPi (📥 50K / month · 📦 52 · ⏱️ 08.01.2021):
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Conda (📥 9.8K · ⏱️ 08.01.2021):
conda install -c conda-forge nmslib
Milvus (🥈25 · ⭐ 4.9K) - An open source embedding vector similarity search engine powered by.. Apache-2
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GitHub (👨💻 140 · 🔀 750 · 📋 2.1K - 10% open · ⏱️ 12.01.2021):
git clone https://github.com/milvus-io/milvus
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PyPi (📥 5.5K / month · 📦 6 · ⏱️ 16.10.2020):
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Docker Hub (📥 220K · ⭐ 9 · ⏱️ 06.01.2021):
docker pull milvusdb/milvus
hnswlib (🥈22 · ⭐ 1.3K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2
Magnitude (🥉21 · ⭐ 1.4K) - A fast, efficient universal vector embedding utility package. MIT
PyNNDescent (🥉20 · ⭐ 360) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2
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GitHub (👨💻 10 · 🔀 43 · 📋 55 - 47% open · ⏱️ 05.01.2021):
git clone https://github.com/lmcinnes/pynndescent
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PyPi (📥 6.6K / month · 📦 3 · ⏱️ 19.11.2020):
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Conda (📥 20K · ⏱️ 19.11.2020):
conda install -c conda-forge pynndescent
NGT (🥉19 · ⭐ 610) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2
N2 (🥉19 · ⭐ 450) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast.. Apache-2
Show 2 hidden projects...
- NearPy (🥉20 · ⭐ 660 · 💀) - Python framework for fast (approximated) nearest neighbour search in..
MIT
- PySparNN (🥉11 · ⭐ 840 · 💀) - Approximate Nearest Neighbor Search for Sparse Data in Python!.
BSD-3
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
Libraries providing capabilities for probabilistic programming/reasoning, bayesian inference, gaussian processes, or statistics.
PyMC3 (🥇32 · ⭐ 5.5K) - Probabilistic Programming in Python: Bayesian Modeling and.. Apache-2
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GitHub (👨💻 300 · 🔀 1.3K · 📥 140 · 📦 1.9K · 📋 2.1K - 7% open · ⏱️ 10.01.2021):
git clone https://github.com/pymc-devs/pymc3
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PyPi (📥 120K / month · 📦 290 · ⏱️ 07.12.2020):
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Conda (📥 240K · ⏱️ 07.12.2020):
conda install -c conda-forge pymc3
tensorflow-probability (🥇31 · ⭐ 3.2K) - Probabilistic reasoning and statistical analysis in.. Apache-2
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GitHub (👨💻 400 · 🔀 840 · 📦 1 · 📋 940 - 45% open · ⏱️ 12.01.2021):
git clone https://github.com/tensorflow/probability
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PyPi (📥 310K / month · 📦 250 · ⏱️ 29.12.2020):
pip install tensorflow-probability
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Conda (📥 29K · ⏱️ 13.03.2020):
conda install -c conda-forge tensorflow-probability
hmmlearn (🥇29 · ⭐ 2.2K · ➕) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
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GitHub (👨💻 31 · 🔀 600 · 📦 840 · 📋 340 - 18% open · ⏱️ 28.12.2020):
git clone https://github.com/hmmlearn/hmmlearn
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PyPi (📥 130K / month · 📦 210 · ⏱️ 12.09.2020):
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Conda (📥 58K · ⏱️ 01.11.2020):
conda install -c conda-forge hmmlearn
GPyTorch (🥈28 · ⭐ 2.2K) - A highly efficient and modular implementation of Gaussian Processes.. MIT
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Pyro (🥈27 · ⭐ 6.7K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2
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filterpy (🥈27 · ⭐ 1.6K · ➕) - Python Kalman filtering and optimal estimation library. Implements.. MIT
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GitHub (👨💻 33 · 🔀 400 · 📦 680 · 📋 170 - 12% open · ⏱️ 04.01.2021):
git clone https://github.com/rlabbe/filterpy
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PyPi (📥 15K / month · 📦 210 · ⏱️ 10.10.2018):
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Conda (📥 56K · ⏱️ 05.05.2020):
conda install -c conda-forge filterpy
GPflow (🥈27 · ⭐ 1.4K) - Gaussian processes in TensorFlow. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
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GitHub (👨💻 68 · 🔀 390 · 📦 210 · 📋 690 - 12% open · ⏱️ 12.01.2021):
git clone https://github.com/GPflow/GPflow
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PyPi (📥 2.3K / month · 📦 17 · ⏱️ 01.12.2020):
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Conda (📥 8K · ⏱️ 06.11.2018):
conda install -c conda-forge gpflow
pomegranate (🥉26 · ⭐ 2.6K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT
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GitHub (👨💻 61 · 🔀 460 · 📦 380 · 📋 570 - 5% open · ⏱️ 09.01.2021):
git clone https://github.com/jmschrei/pomegranate
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PyPi (📥 22K / month · 📦 56 · ⏱️ 09.01.2021):
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Conda (📥 42K · ⏱️ 01.11.2020):
conda install -c conda-forge pomegranate
pgmpy (🥉24 · ⭐ 1.7K) - Python Library for learning (Structure and Parameter) and inference.. MIT
SALib (🥉24 · ⭐ 420 · ➕) - Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris,.. MIT
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GitHub (👨💻 23 · 🔀 140 · 📋 220 - 18% open · ⏱️ 12.11.2020):
git clone https://github.com/SALib/SALib
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PyPi (📥 13K / month · 📦 44 · ⏱️ 19.11.2020):
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Conda (📥 56K · ⏱️ 24.10.2020):
conda install -c conda-forge salib
scikit-posthocs (🥉21 · ⭐ 170 · ➕) - Pairwise Multiple Comparisons (Post Hoc) Tests in.. MIT
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
bambi (🥉20 · ⭐ 540 · ➕) - BAyesian Model-Building Interface (Bambi) in Python. MIT
pyhsmm (🥉18 · ⭐ 480) - Bayesian inference in HSMMs and HMMs. MIT
Funsor (🥉18 · ⭐ 160) - Functional tensors for probabilistic programming. Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Baal (🥉17 · ⭐ 310) - Using approximate bayesian posteriors in deep nets for active learning. Apache-2
Orbit (🥉17 · ⭐ 300) - Bayesian forecasting with object-oriented design and probabilistic.. Apache-2
Show 5 hidden projects...
- PyStan (🥈27 · ⭐ 910) - PyStan, the Python interface to Stan.
❗️GPL-3.0
- patsy (🥈27 · ⭐ 730 · 💀) - Describing statistical models in Python using symbolic formulas.
BSD-2
- Edward (🥉24 · ⭐ 4.6K · 💀) - A probabilistic programming language in TensorFlow. Deep..
Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
- pingouin (🥉22 · ⭐ 610 · ➕) - Statistical package in Python based on Pandas.
❗️GPL-3.0
- ZhuSuan (🥉14 · ⭐ 2K · 💀) - A probabilistic programming library for Bayesian deep learning,..
MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
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Libraries for testing the robustness of machine learning models against attacks with adversarial/malicious examples.
CleverHans (🥇25 · ⭐ 4.9K) - An adversarial example library for constructing attacks,.. MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
Foolbox (🥇25 · ⭐ 1.8K · 📉) - A Python toolbox to create adversarial examples that fool neural.. MIT
ART (🥈23 · ⭐ 1.9K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT
TextAttack (🥈23 · ⭐ 1.2K) - TextAttack is a Python framework for adversarial attacks, data.. MIT
robustness (🥉18 · ⭐ 450 · ➕) - A library for experimenting with, training and evaluating neural.. MIT
AdvBox (🥉16 · ⭐ 1K) - Advbox is a toolbox to generate adversarial examples that fool neural.. Apache-2
Show 2 hidden projects...
- advertorch (🥉17 · ⭐ 790 · 💤) - A Toolbox for Adversarial Robustness Research.
❗️GPL-3.0
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
- Adversary (🥉13 · ⭐ 340 · 💀) - Tool to generate adversarial text examples and test machine..
MIT
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
Libraries that require and make use of CUDA/GPU system capabilities to optimize data handling and machine learning tasks.
CuPy (🥇30 · ⭐ 4.8K) - A NumPy-compatible array library accelerated by CUDA. MIT
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GitHub (👨💻 250 · 🔀 430 · 📥 5.3K · 📦 630 · 📋 1.2K - 29% open · ⏱️ 12.01.2021):
git clone https://github.com/cupy/cupy
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PyPi (📥 7.8K / month · 📦 190 · ⏱️ 25.12.2020):
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Conda (📥 330K · ⏱️ 30.12.2020):
conda install -c conda-forge cupy
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Docker Hub (📥 48K · ⭐ 6 · ⏱️ 12.01.2021):
PyCUDA (🥇27 · ⭐ 1.1K) - CUDA integration for Python, plus shiny features. MIT
gpustat (🥈26 · ⭐ 2.2K · 💤) - A simple command-line utility for querying and monitoring GPU status. MIT
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GitHub (👨💻 10 · 🔀 180 · 📦 560 · 📋 66 - 30% open · ⏱️ 19.05.2020):
git clone https://github.com/wookayin/gpustat
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PyPi (📥 130K / month · 📦 58 · ⏱️ 02.01.2021):
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Conda (📥 7.6K · ⏱️ 24.11.2020):
conda install -c conda-forge gpustat
Apex (🥈23 · ⭐ 4.9K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
ArrayFire (🥈22 · ⭐ 3.3K) - ArrayFire: a general purpose GPU library. BSD-3
py3nvml (🥈22 · ⭐ 160 · 💤) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3
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GitHub (👨💻 6 · 🔀 24 · 📦 220 · 📋 11 - 18% open · ⏱️ 23.04.2020):
git clone https://github.com/fbcotter/py3nvml
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PyPi (📥 99K / month · 📦 20 · ⏱️ 06.04.2020):
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Conda (📥 11K · ⏱️ 10.10.2020):
conda install -c conda-forge py3nvml
scikit-cuda (🥉21 · ⭐ 790) - Python interface to GPU-powered libraries. BSD-3
cuDF (🥉20 · ⭐ 3.6K) - cuDF - GPU DataFrame Library. Apache-2
DALI (🥉20 · ⭐ 3K) - A library containing both highly optimized building blocks and an.. Apache-2
cuML (🥉19 · ⭐ 1.9K) - cuML - RAPIDS Machine Learning Library. Apache-2
BlazingSQL (🥉17 · ⭐ 1.4K) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2
cuGraph (🥉16 · ⭐ 620) - cuGraph - RAPIDS Graph Analytics Library. Apache-2
SpeedTorch (🥉16 · ⭐ 590 · 💤) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
cuSignal (🥉15 · ⭐ 430) - GPU accelerated signal processing. Apache-2
Show 3 hidden projects...
- GPUtil (🥈22 · ⭐ 660 · 💀) - A Python module for getting the GPU status from NVIDA GPUs using..
MIT
- nvidia-ml-py3 (🥉17 · ⭐ 60 · 💀) - Python 3 Bindings for the NVIDIA Management Library.
BSD-3
- ipyexperiments (🥉16 · ⭐ 120) - jupyter/ipython experiment containers for GPU and..
Apache-2
![](https://camo.githubusercontent.com/f7ad4f00bd4bad5270feb1e6491b00e04f9601a3fa02178e70b9e50b267670df/68747470733a2f2f6769742e696f2f4a4c793145)
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Libraries that extend TensorFlow with additional capabilities.
tensor2tensor (🥇32 · ⭐ 11K) - Library of deep learning models and datasets designed to.. Apache-2
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tensorflow-hub (🥇32 · ⭐ 2.7K) - A library for transfer learning by reusing parts of.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
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GitHub (👨💻 66 · 🔀 1.4K · 📦 5K · 📋 540 - 8% open · ⏱️ 12.01.2021):
git clone https://github.com/tensorflow/hub
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PyPi (📥 840K / month · 📦 310 · ⏱️ 06.01.2021):
pip install tensorflow-hub
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Conda (📥 48K · ⏱️ 24.08.2020):
conda install -c conda-forge tensorflow-hub
TF Addons (🥈30 · ⭐ 1.2K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2
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TensorFlow Transform (🥈29 · ⭐ 850) - Input pipeline framework. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
efficientnet (🥈26 · ⭐ 1.7K) - Implementation of EfficientNet model. Keras and.. Apache-2
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TF Model Optimization (🥈26 · ⭐ 940 · 📉) - A toolkit to optimize ML models for deployment for.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
TensorFlow I/O (🥉25 · ⭐ 400) - Dataset, streaming, and file system extensions.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
TensorFlow Cloud (🥉23 · ⭐ 210) - The TensorFlow Cloud repository provides APIs that.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
Neural Structured Learning (🥉22 · ⭐ 760) - Training neural models with structured signals. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
TensorNets (🥉20 · ⭐ 970) - High level network definitions with pre-trained weights in.. MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
tffm (🥉19 · ⭐ 760 · 💤) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
Saliency (🥉16 · ⭐ 620) - TensorFlow implementation for SmoothGrad, Grad-CAM, Guided.. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
TF Compression (🥉16 · ⭐ 410) - Data compression in TensorFlow. Apache-2
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
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Libraries that extend scikit-learn with additional capabilities.
imbalanced-learn (🥇30 · ⭐ 5K) - A Python Package to Tackle the Curse of Imbalanced.. MIT
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
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GitHub (👨💻 51 · 🔀 1.1K · 📦 3.8K · 📋 450 - 10% open · ⏱️ 03.11.2020):
git clone https://github.com/scikit-learn-contrib/imbalanced-learn
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PyPi (📥 750K / month · 📦 280 · ⏱️ 09.06.2020):
pip install imbalanced-learn
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Conda (📥 100K · ⏱️ 14.06.2020):
conda install -c conda-forge imbalanced-learn
MLxtend (🥇30 · ⭐ 3.3K) - A library of extension and helper modules for Python's data.. BSD-3
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
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GitHub (👨💻 79 · 🔀 680 · 📦 2.3K · 📋 360 - 27% open · ⏱️ 09.01.2021):
git clone https://github.com/rasbt/mlxtend
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PyPi (📥 200K / month · 📦 95 · ⏱️ 26.11.2020):
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Conda (📥 150K · ⏱️ 26.11.2020):
conda install -c conda-forge mlxtend
category_encoders (🥈25 · ⭐ 1.5K) - A library of sklearn compatible categorical variable.. BSD-3
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
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GitHub (👨💻 34 · 🔀 290 · 📋 200 - 32% open · ⏱️ 31.07.2020):
git clone https://github.com/scikit-learn-contrib/category_encoders
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PyPi (📥 220K / month · 📦 23 · ⏱️ 14.10.2018):
pip install category_encoders
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Conda (📥 91K · ⏱️ 29.04.2020):
conda install -c conda-forge category_encoders
combo (🥈24 · ⭐ 470 · ➕) - A Python Toolbox for Machine Learning Model Combination. BSD-2
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
xgboost
sklearn-contrib-lightning (🥈23 · ⭐ 1.4K) - Large-scale linear classification, regression and.. BSD-3
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
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GitHub (👨💻 16 · 🔀 190 · 📦 72 · 📋 85 - 57% open · ⏱️ 04.01.2021):
git clone https://github.com/scikit-learn-contrib/lightning
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PyPi (📥 520 / month · 📦 5 · ⏱️ 16.12.2020):
pip install sklearn-contrib-lightning
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Conda (📥 130K · ⏱️ 20.12.2020):
conda install -c conda-forge sklearn-contrib-lightning
scikit-opt (🥉22 · ⭐ 1.7K · ➕) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
fancyimpute (🥉22 · ⭐ 910 · ➕) - Multivariate imputation and matrix completion.. Apache-2
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
scikit-lego (🥉22 · ⭐ 370 · ➕) - Extra blocks for scikit-learn pipelines. MIT
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
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GitHub (👨💻 38 · 🔀 63 · 📦 15 · 📋 200 - 10% open · ⏱️ 04.01.2021):
git clone https://github.com/koaning/scikit-lego
-
PyPi (📥 860 / month · ⏱️ 04.01.2021):
-
Conda (📥 7.5K · ⏱️ 02.11.2020):
conda install -c conda-forge scikit-lego
iterative-stratification (🥉19 · ⭐ 490 · ➕) - scikit-learn cross validators for iterative.. BSD-3
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
scikit-tda (🥉19 · ⭐ 260 · ➕) - Topological Data Analysis for Python. MIT
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
DESlib (🥉18 · ⭐ 290 · ➕) - A Python library for dynamic classifier and ensemble selection. BSD-3
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
skggm (🥉17 · ⭐ 180 · ➕) - Scikit-learn compatible estimation of general graphical models. MIT
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
Show 4 hidden projects...
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Libraries that extend Pytorch with additional capabilities.
pretrainedmodels (🥇27 · ⭐ 7.6K · 💤) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
pytorch-optimizer (🥇25 · ⭐ 1.6K · ➕) - torch-optimizer -- collection of optimizers for.. Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
torchdiffeq (🥇24 · ⭐ 3.3K) - Differentiable ODE solvers with full GPU support and.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
pytorch-summary (🥇24 · ⭐ 2.9K) - Model summary in PyTorch similar to `model.summary()` in.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
PML (🥇24 · ⭐ 2.6K) - The easiest way to use deep metric learning in your application. Modular,.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
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GitHub (👨💻 12 · 🔀 360 · 📦 45 · 📋 200 - 16% open · ⏱️ 12.01.2021):
git clone https://github.com/KevinMusgrave/pytorch-metric-learning
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PyPi (📥 3.6K / month · ⏱️ 27.12.2019):
pip install pytorch-metric-learning
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Conda (📥 1.1K · ⏱️ 12.01.2021):
conda install -c metric-learning pytorch-metric-learning
SRU (🥇24 · ⭐ 1.9K) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
EfficientNet-PyTorch (🥈23 · ⭐ 5.3K) - A PyTorch implementation of EfficientNet. Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
EfficientNets (🥈22 · ⭐ 1.2K) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Torchmeta (🥈21 · ⭐ 1.2K) - A collection of extensions and data-loaders for few-shot learning.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
PyTorch Sparse (🥈21 · ⭐ 340) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
reformer-pytorch (🥈20 · ⭐ 1.3K) - Reformer, the efficient Transformer, in Pytorch. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
torch-scatter (🥈20 · ⭐ 570) - PyTorch Extension Library of Optimized Scatter Operations. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Pytorch Toolbelt (🥉19 · ⭐ 870) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
TabNet (🥉19 · ⭐ 720) - PyTorch implementation of TabNet paper :.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Higher (🥉18 · ⭐ 1K) - higher is a pytorch library allowing users to obtain higher order.. Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Performer Pytorch (🥉17 · ⭐ 440 · 🐣) - An implementation of Performer, a linear attention-.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Lambda Networks (🥉16 · ⭐ 1.3K · 🐣) - Implementation of LambdaNetworks, a new approach to.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Tensor Sensor (🥉16 · ⭐ 490 · 🐣) - The goal of this library is to generate more helpful.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Pywick (🥉16 · ⭐ 310) - High-level batteries-included neural network training library for.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
tinygrad (🥉15 · ⭐ 3.9K · 🐣) - You like pytorch? You like micrograd? You love tinygrad!. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
torchsde (🥉15 · ⭐ 630 · 🐣) - Differentiable SDE solvers with GPU support and efficient.. Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
micrograd (🥉14 · ⭐ 1.5K · 💤) - A tiny scalar-valued autograd engine and a neural net library.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Tez (🥉14 · ⭐ 390 · 🐣) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Torch-Struct (🥉13 · ⭐ 870) - Fast, general, and tested differentiable structured prediction.. MIT
![](https://camo.githubusercontent.com/331892c971b50080fff156a9971f5f12aaccc2ca2827b688ca3845462ad8e512/68747470733a2f2f6769742e696f2f4a4c793151)
Show 3 hidden projects...
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Libraries for connecting to, operating, and querying databases.
🔗 best-of-python - DB Clients ( ⭐ 2) - Collection of database clients for python.
![Back to top](https://camo.githubusercontent.com/3d820f4030d5e1852d29a7963d125c83cbf08d0d7aa9968e801a71862939daf7/68747470733a2f2f6769742e696f2f4a74656852)
scipy (🥇40 · ⭐ 7.8K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3
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GitHub (👨💻 1.1K · 🔀 3.5K · 📥 300K · 📦 290K · 📋 7.2K - 21% open · ⏱️ 11.01.2021):
git clone https://github.com/scipy/scipy
-
PyPi (📥 14M / month · 📦 87K · ⏱️ 22.12.2020):
-
Conda (📥 12M · ⏱️ 12.01.2021):
conda install -c conda-forge scipy
SymPy (🥇36 · ⭐ 7.7K) - A computer algebra system written in pure Python. BSD-3
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GitHub (👨💻 1K · 🔀 3.2K · 📥 410K · 📦 28K · 📋 11K - 35% open · ⏱️ 12.01.2021):
git clone https://github.com/sympy/sympy
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PyPi (📥 550K / month · 📦 6.4K · ⏱️ 12.12.2020):
-
Conda (📥 1.2M · ⏱️ 08.01.2021):
conda install -c conda-forge sympy
Keras-Preprocessing (🥇29 · ⭐ 900 · ➕) - Utilities for working with image data, text data, and.. MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
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GitHub (👨💻 48 · 🔀 390 · 📋 190 - 48% open · ⏱️ 11.12.2020):
git clone https://github.com/keras-team/keras-preprocessing
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PyPi (📥 3.7M / month · 📦 2.7K · ⏱️ 14.05.2020):
pip install keras-preprocessing
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Conda (📥 760K · ⏱️ 25.08.2019):
conda install -c conda-forge keras-preprocessing
PyOD (🥇28 · ⭐ 4K) - A Python Toolbox for Scalable Outlier Detection (Anomaly Detection). BSD-2
Cython BLIS (🥇28 · ⭐ 160) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3
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GitHub (👨💻 9 · 🔀 22 · 📦 7.7K · 📋 21 - 28% open · ⏱️ 07.12.2020):
git clone https://github.com/explosion/cython-blis
-
PyPi (📥 790K / month · 📦 390 · ⏱️ 07.12.2020):
-
Conda (📥 380K · ⏱️ 07.12.2020):
conda install -c conda-forge cython-blis
hdbscan (🥈27 · ⭐ 1.8K) - A high performance implementation of HDBSCAN clustering. BSD-3
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
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GitHub (👨💻 64 · 🔀 330 · 📦 700 · 📋 360 - 60% open · ⏱️ 06.01.2021):
git clone https://github.com/scikit-learn-contrib/hdbscan
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PyPi (📥 120K / month · 📦 120 · ⏱️ 19.03.2020):
-
Conda (📥 510K · ⏱️ 02.11.2020):
conda install -c conda-forge hdbscan
pyopencl (🥈27 · ⭐ 760) - OpenCL integration for Python, plus shiny features. MIT
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GitHub (👨💻 82 · 🔀 200 · 📦 440 · 📋 260 - 19% open · ⏱️ 04.01.2021):
git clone https://github.com/inducer/pyopencl
-
PyPi (📥 5K / month · 📦 240 · ⏱️ 20.11.2020):
-
Conda (📥 300K · ⏱️ 20.11.2020):
conda install -c conda-forge pyopencl
Streamlit (🥈26 · ⭐ 13K) - Streamlit The fastest way to build data apps in Python. Apache-2
carla (🥈26 · ⭐ 5.5K) - Open-source simulator for autonomous driving research. MIT
Datasette (🥈26 · ⭐ 4.5K) - An open source multi-tool for exploring and publishing data. Apache-2
agate (🥈26 · ⭐ 1K · 💤) - A Python data analysis library that is optimized for humans instead of.. MIT
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GitHub (👨💻 47 · 🔀 130 · 📦 480 · 📋 640 - 8% open · ⏱️ 01.04.2020):
git clone https://github.com/wireservice/agate
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PyPi (📥 150K / month · 📦 92 · ⏱️ 11.03.2018):
-
Conda (📥 59K · ⏱️ 19.08.2018):
conda install -c conda-forge agate
pyclustering (🥈26 · ⭐ 780 · ➕) - pyclustring is a Python, C++ data mining library. BSD-3
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GitHub (👨💻 26 · 🔀 180 · 📥 280 · 📦 170 · 📋 640 - 8% open · ⏱️ 03.12.2020):
git clone https://github.com/annoviko/pyclustering
-
PyPi (📥 18K / month · 📦 36 · ⏱️ 25.11.2020):
-
Conda (📥 12K · ⏱️ 30.11.2020):
conda install -c conda-forge pyclustering
Trax (🥈25 · ⭐ 5.5K) - Trax Deep Learning with Clear Code and Speed. Apache-2
Pythran (🥈25 · ⭐ 1.5K) - Ahead of Time compiler for numeric kernels. BSD-3
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GitHub (👨💻 47 · 🔀 130 · 📦 48 · 📋 640 - 15% open · ⏱️ 06.01.2021):
git clone https://github.com/serge-sans-paille/pythran
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PyPi (📥 3.9K / month · 📦 13 · ⏱️ 11.12.2020):
-
Conda (📥 120K · ⏱️ 15.12.2020):
conda install -c conda-forge pythran
DeepChem (🥈24 · ⭐ 2.7K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT
![](https://camo.githubusercontent.com/ae0b411747c09c7253be1a506115a174e03db77e4396cf60e6b4c9599faa71f6/68747470733a2f2f6769742e696f2f4a4c793141)
causalml (🥈24 · ⭐ 1.5K · ➕) - Uplift modeling and causal inference with machine learning.. Apache-2
kmodes (🥈24 · ⭐ 800) - Python implementations of the k-modes and k-prototypes clustering.. MIT
PennyLane (🥈24 · ⭐ 690) - PennyLane is a cross-platform Python library for differentiable.. Apache-2
pyjanitor (🥈24 · ⭐ 610) - Clean APIs for data cleaning. Python implementation of R package Janitor. MIT
-
GitHub (👨💻 87 · 🔀 120 · 📦 72 · 📋 370 - 24% open · ⏱️ 31.12.2020):
git clone https://github.com/ericmjl/pyjanitor
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PyPi (📥 1.5K / month · 📦 2 · ⏱️ 03.10.2020):
-
Conda (📥 76K · ⏱️ 04.10.2020):
conda install -c conda-forge pyjanitor
findspark (🥈24 · ⭐ 380 · 💤) - Find pyspark to make it importable. BSD-3
![](https://camo.githubusercontent.com/ad9aa9138d8bd3fca3d031f172857bd28a9822869eccb6560909950b9aaf767b/68747470733a2f2f6769742e696f2f4a4c79314e)
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GitHub (👨💻 14 · 🔀 63 · 📦 1.4K · 📋 19 - 57% open · ⏱️ 08.06.2020):
git clone https://github.com/minrk/findspark
-
PyPi (📥 560K / month · 📦 200 · ⏱️ 08.06.2020):
-
Conda (📥 480K · ⏱️ 06.07.2018):
conda install -c conda-forge findspark
datalad (🥈24 · ⭐ 220) - Keep code, data, containers under control with git and git-annex. MIT
-
GitHub (👨💻 40 · 🔀 68 · 📋 2.9K - 24% open · ⏱️ 12.01.2021):
git clone https://github.com/datalad/datalad
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PyPi (📥 1.2K / month · 📦 26 · ⏱️ 14.12.2020):
-
Conda (📥 76K · ⏱️ 04.01.2021):
conda install -c conda-forge datalad
PaddleHub (🥉23 · ⭐ 4.4K) - Awesome pre-trained models toolkit based on.. Apache-2
![](https://camo.githubusercontent.com/9d8bc42e3f1d9611b2d51d2ad22846e139e5e3e1187cf42612a5cb6ae2d389ff/68747470733a2f2f6769742e696f2f4a4c79314d)
metric-learn (🥉23 · ⭐ 1.1K) - Metric learning algorithms in Python. MIT
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
pycm (🥉23 · ⭐ 1K · ➕) - Multi-class confusion matrix library in Python. MIT
TabPy (🥉23 · ⭐ 1K · ➕) - Execute Python code on the fly and display results in Tableau.. MIT
modAL (🥉23 · ⭐ 1K) - A modular active learning framework for Python. MIT
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
tensorly (🥉23 · ⭐ 940) - TensorLy: Tensor Learning in Python. BSD-2
-
GitHub (👨💻 38 · 🔀 190 · 📋 120 - 20% open · ⏱️ 03.01.2021):
git clone https://github.com/tensorly/tensorly
-
PyPi (📥 2.7K / month · 📦 20 · ⏱️ 07.12.2020):
-
Conda (📥 110K · ⏱️ 07.12.2020):
conda install -c conda-forge tensorly
PySwarms (🥉23 · ⭐ 710) - A research toolkit for particle swarm optimization in Python. MIT
Mars (🥉22 · ⭐ 2K) - Mars is a tensor-based unified framework for large-scale data computation.. Apache-2
Prince (🥉22 · ⭐ 550) - Python factor analysis library (PCA, CA, MCA, MFA, FAMD). MIT
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
SUOD (🥉22 · ⭐ 230) - An Acceleration System for Large-scale Outlier Detection (Anomaly Detection). BSD-2
cleanlab (🥉21 · ⭐ 1.4K) - The standard package for machine learning with noisy labels and finding.. MIT
AstroML (🥉21 · ⭐ 710) - Machine learning, statistics, and data mining for astronomy and.. BSD-2
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
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GitHub (👨💻 29 · 🔀 250 · 📦 160 · 📋 130 - 37% open · ⏱️ 09.09.2020):
git clone https://github.com/astroML/astroML
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PyPi (📥 520 / month · 📦 29 · ⏱️ 23.03.2020):
-
Conda (📥 21K · ⏱️ 16.02.2020):
conda install -c conda-forge astroml
BioPandas (🥉21 · ⭐ 320) - Working with molecular structures in pandas DataFrames. BSD-3
![](https://camo.githubusercontent.com/6e52e7cbf423c1044ceafbf4045895d00974de2025bb8aaec1c432a085c052d4/68747470733a2f2f6769742e696f2f4a4c793153)
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GitHub (👨💻 7 · 🔀 76 · 📦 47 · 📋 34 - 47% open · ⏱️ 01.01.2021):
git clone https://github.com/rasbt/biopandas
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PyPi (📥 200 / month · 📦 6 · ⏱️ 04.08.2020):
-
Conda (📥 61K · ⏱️ 08.08.2020):
conda install -c conda-forge biopandas
StreamAlert (🥉20 · ⭐ 2.4K) - StreamAlert is a serverless, realtime data analysis framework.. Apache-2
alibi-detect (🥉20 · ⭐ 520) - Algorithms for outlier and adversarial instance detection,.. Apache-2
scikit-rebate (🥉20 · ⭐ 300 · ➕) - A scikit-learn-compatible Python implementation of.. MIT
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
gplearn (🥉19 · ⭐ 900 · 💤) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
mlens (🥉19 · ⭐ 670 · 💤) - ML-Ensemble high performance ensemble learning. MIT
baikal (🥉19 · ⭐ 570) - A graph-based functional API for building complex scikit-learn pipelines. BSD-3
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GitHub (👨💻 1 · 🔀 28 · 📦 3 · 📋 15 - 26% open · ⏱️ 15.11.2020):
git clone https://github.com/alegonz/baikal
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PyPi (📥 31 / month · ⏱️ 15.11.2020):
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Conda (📥 380K · ⏱️ 07.12.2020):
conda install -c conda-forge cython-blis
Feature Engine (🥉19 · ⭐ 420) - Feature engineering package with sklearn like functionality. BSD-3
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GitHub (👨💻 19 · 🔀 120 · 📋 99 - 29% open · ⏱️ 12.01.2021):
git clone https://github.com/solegalli/feature_engine
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PyPi (📥 13K / month · 📦 2 · ⏱️ 11.01.2021):
pip install feature_engine
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Conda (📥 1.2K · ⏱️ 11.01.2021):
conda install -c conda-forge feature_engine
rrcf (🥉19 · ⭐ 270 · 💤) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT
apricot (🥉18 · ⭐ 300) - apricot implements submodular optimization for the purpose of selecting.. MIT
River (🥉17 · ⭐ 1.3K) - Online machine learning in Python. BSD-3
Show 7 hidden projects...
- Autograd (🥇29 · ⭐ 5.1K · 💀) - Efficiently computes derivatives of numpy code.
MIT
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Apache-2
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❗️CC-BY-3.0
- impyute (🥉20 · ⭐ 260 · 💀) - Data imputations library to preprocess datasets with missing data.
MIT
- vecstack (🥉18 · ⭐ 570 · 💀) - Python package for stacking (machine learning technique).
MIT
- pandas-ml (🥉17 · ⭐ 260 · 💀) - pandas, scikit-learn, xgboost and seaborn integration.
BSD-3
![](https://camo.githubusercontent.com/d6b1d7805ae4a4f9c63a81de6804d50e702c1b9f46dcb4ef2680da06c1b59f73/68747470733a2f2f6769742e696f2f4a4c793146)
![](https://camo.githubusercontent.com/6e52e7cbf423c1044ceafbf4045895d00974de2025bb8aaec1c432a085c052d4/68747470733a2f2f6769742e696f2f4a4c793153)
- traingenerator (🥉9 · ⭐ 840 · 🐣) - A web app to generate template code for machine learning.
MIT
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![CC0](https://camo.githubusercontent.com/a506c7fe7fb10a024a97fc8bc032921347b842083a1148a3c3fd642c65eae744/68747470733a2f2f6d6972726f72732e6372656174697665636f6d6d6f6e732e6f72672f70726573736b69742f627574746f6e732f38387833312f7376672f62792d73612e737667)