Causality Analysis Python Packages

eliot

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

lingam

Python package for causal discovery based on LiNGAM.

antecedent

Antecedent is a typed causal-analysis compiler whose output is a qualified scientific claim. It keeps identification, structural uncertainty, empirical support, statistical uncertainty, assumptions, implementation evidence and provenance separate and machine-checkable all the way through execution and serialization.

bnlearn

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

syntheticcontrolmethods

A Python package for causal inference using Synthetic Controls

causing

Causing: CAUsal INterpretation using Graphs

esa-2scm

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

ylearn

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

justcause

💊 Comparing causality methods in a fair and just way.

nonlincausality

Python package for Granger causality test with nonlinear forecasting methods.

causationentropy

Implementation of Causation Entropy from Clarkson Center for Complex Systems Science (C3S2)

genfact

Counterfactual causal analysis

py-bnlearn

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

genfact-swarna-kpaul

Counterfactual causal analysis