Description:

dataworkspaces 1.6.0

Data Workspaces 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.


Quick Start
Please see the
Quickstart Section
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 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.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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