Factual package intelligence from PyPI
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).
pip install datafuzz
PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.
datafuzz publishes 1 wheel and 0 source archives for version 0.1.2. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.8, 3.9.
PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 2 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .