GitHub topic

econometrics GitHub repositories

Explore 5 tracked GitHub repositories tagged econometrics. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-28. The collection gained 5 stars since the previous daily snapshot.

Tracked repositories: 5
Total stars: 13,000
Stars gained · 7 days: +29
Stars gained · 30 days: +191

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Star activity for econometrics repositories on this page
Repository	Total stars	Today	7 days	30 days
Nixtla/statsforecast	5.0K	+3	+9	+35
hanlulong/awesome-ai-for-economists	689	+2	+11	+122
py-why/EconML	4.8K	+0	+8	+28
DoubleML/doubleml-for-py	795	+0	+1	+5
alkaline-ml/pmdarima	1.7K	+0	+0	+1

Explore repositories

Showing 1–5 of 5 tracked repositories.

Nixtla/statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

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

llm ai

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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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