Description:

datafuzz 0.1.2

datafuzz




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

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
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 Installation Instructions.


Contribute

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



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


License
The project is licensed under the BSD license.


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



History

0.1.2 (2023-03-28)

Update python versions
Fix several nondeterministic bugs



0.1.0 (2017-09-13)

First release on PyPI.

License

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

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