causallib

library0.10.0pypypiunverified

A Python package for flexible and modular causal inference modeling. Current version 0.10.0. Provides a scikit-learn compatible API for causal effect estimation, including propensity score matching, weighting, doubly robust estimation, and survival analysis. Released irregularly.

ai-ml data

pip install causallib

github ↗package ↗homepage ↗docs ↗

INSTALL

IMPORT

SIG · CAUSALLIB

causallib

ai-mlpythonv0.10.0

harness data pending

Install & Compatibility

Where this runs

No compatibility data collected yet for this library.

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

Weight

✓ from causallib import Weight

✗ from causallib.estimation import Weight

Fits Inverse Probability Weighting (IPW) to estimate potential outcomes on the IHDP dataset.

from causallib.datasets import load_ihdp from causallib.estimation import IPW from sklearn.linear_model import LogisticRegression data = load_ihdp() X = data['X'] a = data['a'] y = data['y'] learner = LogisticRegression(solver='lbfgs') ipw = IPW(learner) ipw.fit(X, a) potential_outcomes = ipw.estimate_population_outcome(X, a, y) print(potential_outcomes)

Debug

Known issues

gotchaData must be provided as DataFrames (not array-like). Many methods internally expect pandas DataFrames for indexing and column alignment; passing numpy arrays may cause silent errors or attribute failures.

fix

Convert inputs to pandas DataFrame/Series before fitting.

affects: all

breakingIn version 0.9.0 the evaluation module was refactored; plot APIs changed. Old imports from causallib.evaluation no longer work.

fix

Use the new causal_metrics module and updated plot functions. See migration guide in the release notes.

affects: >=0.9.0

deprecatedThe `causallib.simulation` module is being phased out. Networkx >=3 may break old simulation code.

fix

Use the newer simulator API or external simulation libraries.

affects: >=0.9.6

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Version history

0.10.0latest on PyPI · released Apr 6, 2025

Audit

Dependencies

scikit-learnrequiredCore dependency for model wrappers and evaluation.

pandasrequiredData handling and input validation.

numpyrequiredNumerical computations.

Agent activity

23 hits · last 30 days

node

Amazon

OpenAI (training)

Resources

githubhttps://github.com/BiomedSciAI/causallib ↗

packagehttps://pypi.org/project/causallib/ ↗

homepagehttps://causallib.org ↗

docshttps://causallib.readthedocs.io/en/latest/ ↗