Metadata-Version: 1.1
Name: datafuzz
Version: 0.1.0a0
Summary: A data-science library built for testing cleaning, schema validation and model robustness. It messes up your data so you can test your data engineering and data science code (before it breaks in production).
Home-page: https://github.com/kjam/datafuzz
Author: Katharine Jarmul
Author-email: katharine@kjamistan.com
License: BSD license
Description: ========
        datafuzz
        ========
        
        
        .. image:: https://img.shields.io/pypi/v/datafuzz.svg
                :target: https://pypi.python.org/pypi/datafuzz
        
        .. image:: https://img.shields.io/travis/kjam/datafuzz.svg
                :target: https://travis-ci.org/kjam/datafuzz
        
        .. image:: https://readthedocs.org/projects/datafuzz/badge/?version=latest
                :target: https://datafuzz.readthedocs.io/en/latest/?badge=latest
                :alt: Documentation Status
        
        .. image:: https://pyup.io/repos/github/kjam/datafuzz/shield.svg
             :target: https://pyup.io/repos/github/kjam/datafuzz/
             :alt: Updates
        
        
        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 :doc:`/installation`
        
        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.
        
        
        
        .. _Cookiecutter: https://github.com/audreyr/cookiecutter
        .. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
        
        
        
        =======
        History
        =======
        
        0.1.0 (2017-09-13)
        ------------------
        
        * First release on PyPI.
        
Keywords: datafuzz
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
