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#causal-inference

Every repository in the public record carrying this tag — from its GitHub topics or the keywords its package registries publish. Health is measured under the same versioned methodology as the rest of the record.

9 records
Tagged “causal-inference”Ranked by health index
PyPI
95Exceptionalhealth index
pgmpy/pgmpy
Python Toolkit for Causal and Probabilistic Reasoning
Python★ 3,313Aug 13, 2026
MITAug 13, 2026 · metrics 2.10.0
PyPI
93Exceptionalhealth index
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.
Python★ 8,260Aug 12, 2026
MITAug 12, 2026 · metrics 2.10.0
PyPI · npm
89Excellenthealth index
cdeust/Cortex
Cross-platform persistent memory MCP for Codex, Gemini CLI, Claude Code, and other local MCP hosts. 36 cited neuroscience mechanisms, local-first SQLite/PostgreSQL, hybrid retrieval, decay-based consolidation, and reproducible benchmarks. Claude adds optional automatic lifecycle hooks.
Python★ 71↓ 2,447/moSep 5, 2026
MITSep 5, 2026 · metrics 2.10.0
PyPI
89Excellenthealth index
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.
Jupyter Notebook · Python★ 4,752Aug 13, 2026
Custom licenseAug 13, 2026 · metrics 2.10.0
PyPI · crates.io
88Excellenthealth index
igerber/diff-diff
Difference-in-Differences causal inference in Python. Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies. sklearn-like API, validated against R.
Python★ 350↓ 16.8K/moJul 17, 2026
MITJul 17, 2026 · metrics 2.10.0
PyPI
84Excellenthealth index
SepineTam/mcp-for-stata
A MCP server for Stata to integrate Stata into your agent.
Python★ 229↓ 20.4K/moJul 30, 2026
AGPL-3.0Jul 30, 2026 · metrics 2.10.0
Packagist
59Moderatehealth index
ai-university-aiu/causalontology
Causalontology - the world's first programming-language-neutral standard and shared commons for reified causation. AGI's Missing Link.
Python★ 0↓ 3/moJul 20, 2026
Apache-2.0Jul 20, 2026 · metrics 2.10.0
Go
44Weakhealth index
jousudo/causa
Causal inference and causal discovery for Go: Granger causality, PC-stable and DirectLiNGAM structure learning in pure standard library - zero dependencies, CGO-free, deterministic.
Go★ 0Jul 22, 2026
Apache-2.0Jul 22, 2026 · metrics 2.10.0
PyPI
21At Riskhealth index
declare-lab/reccon
This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
Python★ 190Jul 15, 2026
No licenseJul 15, 2026 · metrics 2.10.0