Factual package intelligence from PyPI
Python library for machine learning on graphs
pip install stellargraph-mvisani
PyPI declares 25 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.1.0>=1.14>=1.1.0>=2.2>=0.20>=2.2>=0.24The compact report shows 18 of 25 declarations. The interactive dependency graph loads the complete metadata.
stellargraph-mvisani publishes 1 wheel and 0 source archives for version 1.3.1b0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .