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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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  1. …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
  2. …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)
  3. ▲ 37
    DoWhy is a Python library for causal inference
    story by nabla9 · 2022-06-18 · 2 comments
  4. ▲ 3
    DoWhy – Making causal inference easy
    story by Anon84 · 2020-01-31 · 0 comments
  5. …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
  6. ▲ 3
    DoWhy – Making causal inference easy [Microsoft Research]
    story by stevewilhelm · 2018-08-22 · 0 comments