Causality Analysis Python Packages

eliot

Eliot: the logging system that tells you *why* it happened

lingam

Python package for causal discovery based on LiNGAM.

bnlearn

Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

causing

Causing: CAUsal INterpretation using Graphs

syntheticcontrolmethods

A Python package for causal inference using Synthetic Controls

ylearn

YLearn, a pun of "learn why", is a python package for causal inference

esa-2scm

ESA-2SCM for Causal Discovery: Causal Modeling with Elastic Segmentation-based Synthetic Instrumental Variable

nonlincausality

Python package for Granger causality test with nonlinear forecasting methods.

py-bnlearn

bnlearn is a Python package for Causal Discovery by learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

justcause

Comparing methods for causality analysis in a fair and just way.

causationentropy

Causal network discovery using optimal causation entropy

genfact

A model agnostic and gradient-free optimization method for generating counterfactuals