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A library for exploring and validating machine learning data.
pip install tensorflow-data-validation
PyPI declares 34 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<2.0.0,>=0.9<3,>=2.53>=1.2.0>=1.22.0<3,>=1.0<7.0.0,>=6.0.0>=14<0.4,>=0.2.2<2,>=1.12<2.22,>=2.21<1.22,>=1.21.0<1.22,>=1.21.0The compact report shows 12 of 34 declarations. The interactive dependency graph loads the complete metadata.
tensorflow-data-validation publishes 8 wheels and 0 source archives for version 1.21.0. Wheel platform tags: macosx_11_0_arm64, manylinux_2_39_x86_64.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI lists 49 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 .