Causal-Learn (Causal Inference Library)

Causal-learn is a Python library for causal inference, providing various algorithms for causal discovery (identifying causal relationships from observational data) and causal effect estimation. It is part of the Py-Why project and aims to be a comprehensive toolkit for causality. The current version is 0.1.4.5, with frequent patch releases addressing bug fixes and minor enhancements.