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Package profile

shap

  • Summary: A unified approach to explain the output of any machine learning model.
  • Author: Scott Lundberg <slund1@cs.washington.edu>
  • Homepage:
  • Number of releases: 107
  • First release: 0.1 on 2016-12-01
  • Latest release: 0.48.0 on 2025-06-12

Releases

Dates and sizes of releases2018202020222024Release Date0.51.01.52.02.53.0Size in MB

PyPI Downloads

Weekly downloads over the last 3 monthsFebruaryMarchAprilMayJuneDate00.20.40.60.811.21.41.61.822.22.42.62.8 million downloads per week

Dependencies

Shap has 48 dependencies, 38 of which optional.
Dependencies of shap (48).
DependencyOptional
cloudpicklefalse
numbafalse
numpyfalse
packagingfalse
pandasfalse
scikit-learnfalse
scipyfalse
slicerfalse
tqdmfalse
typing-extensionsfalse
catboosttrue
causalmltrue
datasetstrue
gpboosttrue
ipythontrue
ipywidgetstrue
jupytertrue
kerastrue
lightgbmtrue
limetrue
matplotlibtrue
mypytrue
myst-parsertrue
nbconverttrue
nbformattrue
nbsphinxtrue
ngboosttrue
nlptrue
numpydoctrue
opencv-pythontrue
protobuftrue
pyodtrue
pysparktrue
pytesttrue
pytest-covtrue
pytest-mpltrue
requeststrue
seleniumtrue
sentencepiecetrue
sphinxtrue
sphinx_github_changelogtrue
sphinx_rtd_themetrue
tensorflowtrue
tf-kerastrue
torchtrue
torchvisiontrue
transformerstrue
xgboosttrue

Details