datafuzz 0.1.0a0

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datafuzz
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A data-science library built for testing cleaning, schema validation and model robustness. Datafuzz messes up your data so you can test things before they go wrong in production.

* Free software: BSD license
* Documentation: https://datafuzz.readthedocs.io.


Features
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* Transform your data by adding noise to a subset of your rows
* Duplicate data to test your duplication handling
* Generate synthetic data for use in your testing suite
* Insert random "dumb" fuzzing strategies to see how your tools cope with bad data
* Seamlessly handle normal input and output types including CSVs, JSON, SQL, numpy and pandas


Installation
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Install datafuzz by running::

$ pip install datafuzz

Recommended use is with a proper Virtual Environment (learn more about `virtual environments <http://docs.python-guide.org/en/latest/dev/virtualenvs/>`).

For more details see :doc:`/installation`

Contribute
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- Issue Tracker: https://github.com/kjam/datafuzz/issues
- Source Code: https://github.com/kjam/datafuzz

Support
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If you are having issues, please let reach out via the Repository issues.

License
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The project is licensed under the BSD license.

Credits
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This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.



.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage



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History
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0.1.0 (2017-09-13)
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* First release on PyPI.