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.
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Release files for dataworkspaces 1.6.0
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Source distribution (sdist)
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| dataworkspaces-1.6.0.tar.gz | 154.8 kB | Details |
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| dataworkspaces-1.6.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 339.0 kB
Release files / dataworkspaces-1.6.0.tar.gz
| Download URL | dataworkspaces-1.6.0.tar.gz |
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| Size | 154.8 kB |
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Release files / dataworkspaces-1.6.0-py3-none-any.whl
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