Factual package intelligence from PyPI
Reusable evaluation contracts for binary classification: metrics, bootstrap CIs, calibration, artifacts, and evidence gates.
pip install eval-toolkit
PyPI declares 47 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=4.21>=1.26>=1.4>=1.11The compact report shows 25 of 47 declarations. The interactive dependency graph loads the complete metadata.
eval-toolkit publishes 1 wheel and 1 source archive for version 1.12.0. Wheel platform tags: any.
Declared Python classifiers: 3.13.
PyPI lists 47 releases with files. The first dated release is ; 47 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .