GitHub topic

causal-inference GitHub repositories

Explore 6 tracked GitHub repositories tagged causal-inference. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-28. The collection gained 6 stars since the previous daily snapshot.

Tracked repositories: 6
Total stars: 21,232
Stars gained · 7 days: +39
Stars gained · 30 days: +238

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Star activity for causal-inference repositories on this page
Repository	Total stars	Today	7 days	30 days
py-why/dowhy	8.4K	+0	+11	+45
uber/causalml	6.0K	+1	+5	+36
py-why/EconML	4.8K	+0	+8	+28
DoubleML/doubleml-for-py	795	+0	+1	+5
hanlulong/awesome-ai-for-economists	689	+2	+11	+122

Explore repositories

Showing 1–6 of 6 tracked repositories.

py-why/dowhy

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.

★ 8.4K+0 todayPython

machine-learning data-science

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uber/causalml

Uplift modeling and causal inference with machine learning algorithms

★ 6.0K+1 todayPython

machine-learning causal-inference

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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 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 inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

★ 4.8K+0 todayJupyter Notebook

machine-learning causal-inference

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DoubleML/doubleml-for-py

DoubleML - Double Machine Learning in Python

★ 795+0 todayPython

machine-learning data-science

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hanlulong/awesome-ai-for-economists

A curated list of AI tools, agent skills, libraries, and resources for economics research, teaching, and policy analysis. Maintained by the OpenEcon team.

★ 689+2 todayUnknown