Factual package intelligence from PyPI
Benchmark embedding models on your own data — choose the right model for your dataset, not the leaderboard's.
pip install embench
PyPI declares 14 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=5.0>=2.0>=1.0>=0.20>=1.21>=1.0>=1.3>=1.23>=1.0>=1.0>=0.2embench publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
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 .