PySpect

Home

lists

Frequently asked questions

© 2025 PySpect

Package profile

causalml

  • Summary: Python Package for Uplift Modeling and Causal Inference with Machine Learning Algorithms
  • Author: Huigang Chen, Totte Harinen, Jeong-Yoon Lee, Jing Pan, Mike Yung, Zhenyu Zhao
  • Homepage: https://github.com/uber/causalml
  • Source: https://github.com/uber/causalml (Repo profile)
  • Number of releases: 28
  • First release: 0.2.0 on 2019-08-12
  • Latest release: 0.15.5 on 2025-07-09

Releases

Dates and sizes of releases202020212022202320242025Release Date2468Size in MB

PyPI Downloads

Weekly downloads over the last 3 monthsFebruaryMarchAprilMayJuneDate0246810121416 thousand downloads per week

Dependencies

Causalml has 22 dependencies, 5 of which optional.
Dependencies of causalml (22).
DependencyOptional
dillfalse
forestcifalse
graphvizfalse
lightgbmfalse
matplotlibfalse
numpyfalse
packagingfalse
pandasfalse
pathosfalse
pydotplusfalse
scikit-learnfalse
scipyfalse
seabornfalse
shapfalse
statsmodelsfalse
tqdmfalse
xgboostfalse
pyro-ppltrue
pytesttrue
pytest-covtrue
tensorflowtrue
torchtrue

Details