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PyWhy’s mission is to build an open-source ecosystem for causal machine learning that moves forward the state-of-the-art and makes it available to practitioners and researchers. We build and host interoperable libraries, tools, and other resources spanning a variety of causal tasks and applications, connected through a common API on foundational causal operations and a focus on the end-to-end analysis process.

PyWhy Homepage: Learn about the PyWhy ecosystem, including libraries and tutorials.

PyWhy Governance: Learn about PyWhy's governance.

PyWhy Discord: We use Discord to communicate and meet regularly.

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  1. dowhy dowhy Public

    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 graphic…

    Python 6.8k 917

  2. EconML EconML Public

    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 go…

    Jupyter Notebook 3.6k 682

  3. causal-learn causal-learn Public

    Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

    Python 1k 173

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