calkit-python 0.0.3

Reproducibility simplified.

Calkit

Calkit makes reproducible research easy, acting as a layer on top of Git and DVC, such that all all materials involved in the research process can be fully described in a single repository.

Installation

Simply run

pip install calkit-python

Cloud integration

The Calkit cloud platform (https://calkit.io) serves as a project management interface and a DVC remote for easily storing all versions of your data/code/figures/publications, interacting with your collaborators, reusing others' research artifacts, etc.

After signing up, visit the settings page and create a token. Then run

calkit config set token ${YOUR_TOKEN_HERE}

Then, inside a project repo you'd like to connect to the cloud, run

calkit config setup-remote

This will setup the Calkit DVC remote, such that commands like dvc push will allow you to push versions of your data or pipeline outputs to the cloud for safe storage and sharing with your collaborators.

How it works

Calkit creates a simple human-readable "database" inside the calkit.yaml file, which serves as a way to store important information about the project, e.g., what question(s) it seeks to answer, what files should be considered datasets, figures, publications, etc. The Calkit cloud reads this database and registers the various entities as part of the entire ecosystem such that if a project is made public, other researchers can find and reuse your work to accelerate their own.