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A no-code solution for performing data cleaning like misssing value imputation,outlier handling,normalisation,transformation and quality check with an intuitive interface for interactive DataFrame manipulation and easy CSV export.
pip install datarefine
PyPI declares 7 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.0.0>=0.22.0DataRefine publishes 1 wheel and 1 source archive for version 1.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.
PyPI lists 1 release 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 .