Factual package intelligence from PyPI
The standard package for data-centric AI, machine learning with label errors, and automatically finding and fixing dataset issues in Python.
pip install example-package-elisno
PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.22.0>=1.1>=4.53.0>=1.4.0>=2.4.0example-package-elisno publishes 1 wheel and 1 source archive for version 2.6.24. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.8, 3.9.
PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .