ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal …

Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

[Experimental] Global causal discovery algorithms

[Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.

Experimental library integrating LLM capabilities to support causal analyses

Python package for (conditional) independence testing and statistical functions related to causality.

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.

AutoML for causal inference.

Contains the code for https://py-why.github.io/