py-why/dowhy

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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.

6 mentions on Hacker News by 6 people: 3 stories, 3 comments · first 2018-08-22 · latest 2025-09-02

Mentions per year 6 mentions · busiest year 2018 (1)

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…DoWhy implementation [0], which seems to have some recognition in the causal inference space. [0] https://github.com/py-why/dowhy
comment by fohara · 2025-09-02 · in CauseNet: Towards a causality graph extracted from the web
…of causal modeling it can get you up and running by estimating the causal graph based on your data. https://github.com/py-why/dowhy
comment by johnsutor · 2023-09-26 · in Causality for Machine Learning (2020)
…CausalInference: https://pypi.org/project/CausalInference/ DoWhy: https://github.com/microsoft/dowhy CausalImpact (Python port of the R package): https://github.com/dafiti/causalimpact "What is the best Python package for ca
comment by westurner · 2019-06-13 · in A plan to change how Harvard teaches economics