r-causal/ggdag

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

Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.

Python Toolkit for Causal and Probabilistic Reasoning

Python package for causal discovery based on LiNGAM.

Causal Discovery in Python. Learning causality from data.

Enhancing {ggplot2} plots with statistical analysis 📊📣

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

igraph R package

A Python library that helps data scientists to infer causation rather than observing correlation.