dataworkspaces 1.6.0

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.