Factual package intelligence from PyPI
Dataset-centric CV toolkit: label-quality checks, mislabel detection, class-imbalance analysis, and active-learning loop orchestration.
pip install cv-quality
PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.24>=1.11>=1.3>=10.0>=8.1>=13.0>=4.66>=2.0.7The compact report shows 12 of 20 declarations. The interactive dependency graph loads the complete metadata.
cv-quality publishes 1 wheel and 1 source archive for version 1.0.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 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 .