Rank #974 8,359 starsPython

dowhy

by py-why (organization)

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. (description from the project’s GitHub page)

View on GitHub Homepage

Repository facts

Stars: 8,359
Forks: 1,060
Open issues and pull requests: 219
Primary language: Python
License: MIT License (MIT)
Owner: py-why · Organization
Created: May 31, 2018
Last push: Oct 18, 2026

Topics

Rank #974 of 9,507 in AI on GitHub, by stars. Data from the GitHub API, fetched Oct 18, 2026; star counts change daily. Stars measure popularity, not quality or safety, and a listing is not an endorsement. How this list is made

Add this badge to your README

Ranked #974 in AI on GitHub Shows this repository’s rank in AI on GitHub and links back to this page. Ranks are by stars and change when the list is refreshed. The badge is not an endorsement or a rating. About the badges

Markdown (for a README)

[![Ranked #974 in AI on GitHub](https://unitedstatesofamericasuperintelligence.com/badges/github/py-why--dowhy.svg)](https://unitedstatesofamericasuperintelligence.com/github/py-why--dowhy/)

HTML

<a href="https://unitedstatesofamericasuperintelligence.com/github/py-why--dowhy/"><img src="https://unitedstatesofamericasuperintelligence.com/badges/github/py-why--dowhy.svg" alt="Ranked #974 in AI on GitHub" height="20"></a>

Projects that share this one’s GitHub topics.

Rank 3,062: mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
2,489 starsPythonOther licenseLast push Aug 31, 2026
Rank 5,257: FenTechSolutions/CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
1,243 starsPythonMITLast push Oct 13, 2025
Rank 1,667: py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision mak…
4,817 starsJupyter NotebookOther licenseLast push Oct 16, 2026
Rank 7,380: jvpoulos/causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
752 starsNo license file detectedLast push Nov 23, 2022
Rank 1,714: Kanaries/Rath
Next generation of automated data exploratory analysis and visualization platform.
4,683 starsTypeScriptAGPL-3.0Last push Aug 14, 2026
Rank 7,122: DoubleML/doubleml-for-py
DoubleML - Double Machine Learning in Python
794 starsPythonBSD-3-ClauseLast push Sep 23, 2026

Repository facts

Topics

Add this badge to your README

Related projects

Rank 3,062: mckinsey/causalnex

Rank 5,257: FenTechSolutions/CausalDiscoveryToolbox

Rank 1,667: py-why/EconML

Rank 7,380: jvpoulos/causal-ml

Rank 1,714: Kanaries/Rath

Rank 7,122: DoubleML/doubleml-for-py

Support Us