This package is a lightweight package manager to help setup and manage your research projects.

To get started, make sure you have Python 3.7 installed.

N.B. If you're wondering why the shorthand looks so weird (repm instead of rpm), it's because rpm has already been taken.

Clone this repo, and run python ./bin/install to install this CLI.

Visit our website: https://repm.io

To initialize a new project, run repm --init <your-project-name (optional)>.

Ex. (if you're a fan of PyCharm):

# Option 1
cd ~/PycharmProjects/
repm --init repm_tutorial

# Option 2
cd ~/PycharmProjects/
mkdir repm_tutorial
cd repm_tutorial
repm --init

To download a dataset, run repm download -a <your-dataset-name>.

Ex.:

cd ~/PycharmProjects/repm_tutorial
repm download -a repm_tutorial_dataset
# Downloads into the data/ folder within the project.

Downloading datasets can't work if you can't upload anything. Authorization is meant to support uploading your own datasets.

To create an account, run repm --signup.

To login, run repm --login.

To logout, run repm --logout.

To upload a dataset, run repm upload -a <your-dataset-name>.

Only owners of datasets can upload respective datasets.

Ex.:

cd ~/PycharmProjects/repm_tutorial
repm upload -a repm_tutorial_dataset
# Uploads the dataset from the data/ folder

To list all the available datasets for downloading, run repm --list.