Factual package intelligence from PyPI
A safe, transparent way to share and deploy scikit-learn models.
pip install ml2json
PyPI declares 18 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<=1.4.0,>=1.2.2The compact report shows 12 of 18 declarations. The interactive dependency graph loads the complete metadata.
ml2json publishes 1 wheel and 1 source archive for version 0.5.1. Wheel platform tags: any.
Declared Python classifiers: 3.6, 3.7, 3.8, 3.9.
PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 9 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .