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A comprehensive Python package for scraping and analyzing NHL data with built-in Expected Goals (xG) modeling
pip install scrapernhl
PyPI declares 27 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=4.12.0>=8.0.0>=1.3.0>=2.0.0>=2.2.3>=1.0.0>=2.31.0>=13.0.0>=0.3.27>=2.0.7The compact report shows 25 of 27 declarations. The interactive dependency graph loads the complete metadata.
scrapernhl publishes 1 wheel and 1 source archive for version 0.3.2. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.
PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .