A collection of resources for working with sequential and time series data

• 📈 Time series resources 📉
  • 📦 Packages
    • Python
      • Date and Time
      • Feature Engineering
      • Time Series Segmentation & Change Point Detection
      • Time Series Augmentation
      • Visualization
    • Java
    • JavaScript
      • Visualization
    • Spark
  • 🗄️ Databases
    • Managed database services
  • 📝 Papers with code
  • 💻 Repos with Models
  • 📚 Books
  • 🎓 Courses
  • 💬 Communities
  • 🗃 Organizations
  • 🕶️ More Awesomeness

• adtk A Python toolkit for rule-based/unsupervised anomaly detection in time series.
• cesium Open-Source Platform for Time Series Inference.
• darts Time Series Made Easy in Python. A python library for easy manipulation and forecasting of time series.
• deeptime Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation.
• gordo Building thousands of models with time series data to monitor systems.
• hmmlearn Hidden Markov Models in Python, with scikit-learn like API.
• lifelines Survival analysis in Python.
• luminaire A python package that provides ML driven solutions for monitoring time series data. Luminaire provides several anomaly detection and forecasting capabilities that incorporate correlational and seasonal patterns in the data over time as well as uncontrollable variations.
• mass-ts Mueen's Algorithm for Similarity Search, a library used for searching time series sub- sequences under z-normalized Euclidean distance for similarity.
• matrixprofile A Python library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
• Merlion A Python library for time series intelligence. It provides an end-to-end machine learning framework that includes loading and transforming data, building and training models, post-processing model outputs, and evaluating model performance.
• pmdarima A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
• prophet Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
• PyDLM Bayesian time series modeling package. Based on the Bayesian dynamic linear model (Harrison and West, 1999) and optimized for fast model fitting and inference.
• PyFlux Open source time series library for Python.
• Pyod A Python toolbox for scalable outlier detection (Anomaly Detection).
• seglearn A python package for machine learning time series or sequences.
• shyft Time-series for python and c++, including distributed storage and calculations Hydrologic Forecasting Toolbox, high-performance flexible stacks, including calibration Energy-market models and micro services.
• similarity_measures Quantify the difference between two arbitrary curves.
• sktime A scikit-learn compatible Python toolbox for learning with time series.
• statsmodels.tsa Time Series Analysis (tsa) statsmodels.tsa contains model classes and functions that are useful for time series analysis.
• stumpy A powerful and scalable Python library that can be used for a variety of time series data mining tasks.
• TICC A python solver for efficiently segmenting and clustering a multivariate time series.
• timemachines Continuously evaluated, functional, incremental, time-series forecasting.
• TimeSynth A multipurpose library for synthetic time series in Python.
• tslearn The machine learning toolkit for time series analysis in Python.
• tsmoothie A python library for time-series smoothing and outlier detection in a vectorized way.

Libraries for working with dates and times.

• Arrow - A Python library that offers a sensible and human-friendly approach to creating, manipulating, formatting and converting dates, times and timestamps.
• Chronyk - A Python 3 library for parsing human-written times and dates.
• dateutil - Extensions to the standard Python datetime module.
• delorean - A library for clearing up the inconvenient truths that arise dealing with datetimes.
• maya - Datetimes for Humans.
• moment - A Python library for dealing with dates/times. Inspired by Moment.js.
• Pendulum - Python datetimes made easy.
• PyTime - An easy-to-use Python module which aims to operate date/time/datetime by string.
• pytz - World timezone definitions, modern and historical. Brings the tz database into Python.
• when.py - Providing user-friendly functions to help perform common date and time actions.

• featuretools An open source python library for automated feature engineering.
• tsfresh The package contains many feature extraction methods and a robust feature selection algorithm.

• bayesian_changepoint_detection Methods to get the probability of a change point in a time series. Both online and offline methods are available.
• changepy Change point detection in time series in pure python.
• ruptures A Python library for off-line change point detection. This package provides methods for the analysis and segmentation of non-stationary signals.
• TCPDBench Turing Change Point Detection Benchmark, a benchmark evaluation of change point detection algorithms.

• tsaug A Python package for time series augmentation.
• time_series_augmentation An example of time series augmentation methods with Keras.

• atlair Declarative statistical visualization library for Python.
• matplotlib A comprehensive library for creating static, animated, and interactive visualizations in Python.
• plotly A graphing library makes interactive, publication-quality graphs.
• seaborn A data visualization library based on matplotlib that provides a high-level interface for drawing attractive and informative statistical graphics.

• timeseries-elo-ratings computes Elo ratings.
• m6 Provides utilities for the M6-Competition
• Microprediction time-series competitions

• SFA Scalable Time Series Data Analytics.

• cubism A D3 plugin for visualizing time series. Use Cubism to construct better realtime dashboards, pulling data from Graphite, Cube and other sources.
• echarts A free, powerful charting and visualization library offering an easy way of adding intuitive, interactive, and highly customizable charts to your commercial products.
• highcharts A JavaScript charting library based on SVG, with fallbacks to VML and canvas for old browsers.

• flint A Time Series Library for Apache Spark.

• atlas In-memory dimensional time series database from Netflix.
• cassandra Apache Cassandra is an open source NoSQL distributed database trusted by thousands of companies for scalability and high availability without compromising performance.
• ClickHouse An open-source, high performance columnar OLAP database management system for real-time analytics using SQL.
• cratedb The SQL database for complex, large scale time series workloads in industrial IoT.
• druid A high performance real-time analytics database.
• fauna Fauna is a flexible, developer-friendly, transactional database delivered as a secure and scalable cloud API with native GraphQL.
• InfluxDB Is the essential time series toolkit - dashboards, queries, tasks and agents all in one place.
• KairosDB Fast Time Series Database on Cassandra.
• opendTSDB The Scalable Time Series Database.
• prometheus An open-source systems monitoring and alerting toolkit originally built at SoundCloud.
• QuestDB An open source SQL database designed to process time series data, faster.
• TimeScaleDB TimescaleDB is the leading open-source relational database with support for time-series data.

• Amazon Timestream A fast, scalable, and serverless time series database service for IoT and operational applications.
• Azure Database for PostgreSQL Fully managed, intelligent, and scalable PostgreSQL with support for TimeScaleDB.
• Azure time series insights Visualize IoT data in real time.
• InfluxDB Cloud It’s a fast, elastic, serverless real-time monitoring platform, dashboarding engine, analytics service and event and metrics processor.
• TimeScaleDB Cloud Managed TimeScaleDB service.

• Greedy Gaussian Segmentation of Multivariate Time Series, D. Hallac, P. Nystrup, and S. Boyd, Advances in Data Analysis and Classification, 13(3), 727–751, 2019.

  • code
  • paper

• U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging, Mathias Perslev, Michael Jensen, Sune Darkner, Poul Jørgen Jennum, Christian Igel, NeurIPS, 2019.

  • paper
  • code

• A Better Alternative to Piecewise Linear Time Series Segmentation, Daniel Lemire, SIAM Data Mining, 2007.

  • paper
  • code

• Time-series Generative Adversarial Networks, Jinsung Yoon, Daniel Jarrett, Mihaela van der Schaar, NeurIPS, 2019.

  • paper
  • code

• Learning to Diagnose with LSTM Recurrent Neural Networks, Zachary C. Lipton, David C. Kale, Charles Elkan, Randall Wetzel, arXiv:1511.03677, 2015.

  • paper
  • code

• LSTM-Neural-Network-for-Time-Series-Prediction LSTM built using Keras Python package to predict time series steps and sequences.
• TensorFlow-Time-Series-Examples Time Series Prediction with tf.contrib.timeseries
• TimeSeries Implementation of deep learning models for time series in PyTorch.

• Bayesian Time Series Models 💲 David Barber, A. Taylan Cemgil, Silvia Chiappa, Cambridge Academic Press 2011
• Forecasting principles and practice (3rd ed) 🆓 Rob J Hyndman and George Athanasopoulos 2021
• Practical Time Series Analysis 💲 Avishek Pal, PKS Prakash, Packt 2017
  • repo with code
• Practical Time Series Analysis: Prediction with Statistics and Machine Learning 💲 Aileen Nielsen, O’Reilly 2019
  • repo with code
• Visualization of Time-Oriented Data 💲 Wolfgang Aigner, Silvia Miksch, Heidrun Schumann, Christian Tominski, Springer-Verlag 2011

• Analytics Vidhya - Time Series Forecasting using Python
• Coursera - Intro to Time Series Analysis in R
• Coursera - Sequences, Time Series and Prediction
• Coursera - Practical Time Series Analysis
• Data For Science - Time Series for Everyone
• Kaggle - Time Series
• Udacity - Time Series Forecasting

• r/TimeSeries Subreddit for graphs of time series and predictions based on time series.

• Matrix Profile Foundation

• cuge1995/awesome-time-series
• MaxBenChrist/awesome_time_series_in_python
• vinta/awesome-python
• xephonhq/awesome-time-series-database A curated list of awesome time series databases, benchmarks and papers.