Causal Discovery Python Packages

pgmpy

Python Toolkit for Causal and Probabilistic Reasoning

causal-learn

Causal Discovery in Python. Learning causality from data.

lingam

Python package for causal discovery based on LiNGAM.

causal-worlds

Generate fictional-but-coherent causal operations worlds (executable sim + time-series + ground-truth causal answer-key) from a natural-language description — for benchmarking causal-discovery and control agents.

gcastle

Trustworthy AI related projects

cdt

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

statspai

StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, Skills, an MCP server, and R/Stata parity validation.

dqtlib

A Data Questioning Tool that tells you the what and the why

dagma

A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"

causalrl

Causal reinforcement learning, organized around Bareinboim's 9-task taxonomy, confounded offline→online RL, POMIS, counterfactual policies, transportability, discovery, imitation, curricula.

dagsampler

Constraint-based causal discovery: simulator (dagsampler), CI tests (citk), algorithms (cbcd), metrics & viz (bnm)

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

copent

Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python

avici

Amortized Inference for Causal Structure Learning, NeurIPS 2022

jax-pcmci

High-performance causal discovery using PCMCI algorithms with JAX acceleration

pytrad

Causal Discovery in Python. Learning causality from data.

scmopy

scmopy: Distribution-Agnostic Structural Causal Models Optimization in Python

causationentropy

Causal network discovery using optimal causation entropy

pgmpy-rcr

Python Toolkit for Causal and Probabilistic Reasoning

seq2cause

Sample- And Population-Level Causal Discovery from Event Sequences using Autoregressive Models

cits

CITS algorithm for inferring causality from time series data

pypcalg

A Python implementation of the PC algorithm.

fpcmci

A causal discovery Python package