Factual package intelligence from PyPI
PyPI does not currently provide a summary for ml-labs.
pip install ml-labs
PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.5>=1.23>=1.2>=5.0The compact report shows 12 of 21 declarations. The interactive dependency graph loads the complete metadata.
ml-labs publishes 1 wheel and 1 source archive for version 0.8.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI does not currently declare: meaningful summary. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 12 releases with files. The first dated release is ; 12 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .