===============
Data Workspaces
Data Workspaces <https://dataworkspaces.ai>
_ is an open source framework for maintaining the
state of a data science project, including data sets, intermediate
data, results, and code. It supports reproducability through snapshotting
and lineage models and collaboration through a push/pull model
inspired by source control systems like Git.
Data Workspaces is installed as a Python 3 package and provides a
Git-like command line interface and programming APIs. Specific data
science tools and workflows are supported through extensions
called kits. Currently, this includes Scikit-learn, TensorFlow,
and Jupyter Notebooks. The goal is to provide the reproducibility and collaboration
benefits with minimal changes to your current projects and processes.
Data Workspaces runs on
Unix-like systems, including Linux, MacOS, and on Windows via the
Windows Subsystem for Linux.
.. image:: https://github.com/data-workspaces/data-workspaces-core/workflows/Run-tests-on-push/badge.svg
Quick Start
Please see the
Quickstart Section <https://data-workspaces-core.readthedocs.io/en/latest/intro.html#quick-start>
_
of the documentation.
Documentation
The documentation is available here: https://data-workspaces-core.readthedocs.io/en/latest/. The source for the documentation is under docs
. To build it locally, install
Sphinx <https://www.sphinx-doc.org/en/master/>
_ and run the following::
cd docs
pip install -r requirements.txt # extras needed to build the docs
make html
To view the local documentation, open the file docs/_build/html/index.html
in your
browser.
License
This code is copyright 2018 - 2021 by the Max Planck Institute for Software Systems and Benedat LLC.
It is licensed under the Apache 2.0 license. See the file LICENSE.txt for details.