Factual package intelligence from PyPI
Rigorous LLM evaluation: bootstrap CIs, significance testing, and automated statistical auditing
pip install evalkit-research
PyPI declares 27 unique dependency rules for this release. Environment markers are shown when supplied by the project.
The compact report shows 12 of 27 declarations. The interactive dependency graph loads the complete metadata.
evalkit-research publishes 1 wheel and 0 source archives for version 0.1.0. Wheel platform tags: any.
Declared Python classifiers: 3.11, 3.12.
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 .