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depscope/pypi/shap

shap

pypiv0.52.0

A unified approach to explain the output of any machine learning model.

License MIT Licensepermissive111 versions61 deps3,690,585 weekly dl
http://github.com/shap/shap
85
/ 100
Health
safe to use

[email protected] is safe to use (health: 85/100)

Health breakdown0 – 100
20/25
maintenance
17/20
popularity
25/25
security
15/15
maturity
8/15
community
0/15
popularity_floor
Vulnerabilities
0
none known
Quality signals
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Health History

Dependency Tree

License Audit

Dependencies (61)
numpyscipyscikit-learnpandastqdmpackagingslicernumbanumba;llvmlitellvmlite;cloudpicklematplotlib;ipython;lime;scikit-learn;matplotlib;ipython;numpydoc;sphinx_rtd_theme;sphinx;nbsphinx;sphinx_github_changelog;myst-parser;requests;ipywidgets;pytest;pytest-mpl;pytest-cov;mypy;pytest;pytest-mpl;pytest-cov;xgboost;lightgbm;catboost;gpboostngboost;pyspark;pyod;transformerstf-keras;protobuf;torchtorchvision;tensorflow;sentencepiece;opencv-python;numpycausalmlselenium;jupyter;nbconvert;nbformat;nlp;transformers;datasets;keras;nbtest-plugin;nbtest-gen;
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Last updated · 2026-05-28T14:17:33.352448Z

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