Package data summary
A unified approach to explain the output of any machine learning model.
pip install shap
PyPI declares 61 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2>=4.27.0>20.9==0.0.8<0.63 when sys_platform == "darwin" and platform_machine == "x86_64"The compact report shows 8 of 61 declarations. The interactive dependency graph loads the complete metadata.
shap publishes 11 wheels and 1 source archive for version 0.52.0. Wheel platform tags: macosx_10_13_x86_64, macosx_11_0_arm64, manylinux_2_24_aarch64.manylinux_2_28_aarch64, manylinux_2_24_x86_64.manylinux_2_28_x86_64, manylinux_2_26_aarch64.manylinux_2_28_aarch64, musllinux_1_2_aarch64, musllinux_1_2_x86_64, win_amd64.
Declared Python classifiers: 3.12, 3.13, 3.14.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
deps.dev reports 533 direct and 628 total known dependents for version 0.52.0, checked on .
PyPI lists 111 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .