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Repositories in this selection 4 · UTC 2026-11-03
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1—Ppy-why / dowhyDoWhy 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.PythonMIT · PermissiveInsufficient rank history8,3851,065——2026-11-03
2—Ppy-why / EconMLALICE (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 NotebookNOASSERTION · Restricted / unknownInsufficient rank history4,839834——2026-11-02
3—KKanaries / RathNext generation of automated data exploratory analysis and visualization platform.TypeScriptAGPL-3.0 · Share derivative sourceInsufficient rank history4,688379——2026-08-14
4—Mmatheusfacure / python-causality-handbookCausal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.Jupyter NotebookMIT · PermissiveInsufficient rank history3,508622——2026-10-06
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