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.
Model and test cause-and-effect relationships in your data with a Python library.
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Free · no card · unsubscribe anytimeDoWhy 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.
dowhy has 8.2k stars on GitHub. It has been forked 1k times. dowhy is written mainly in Python. It has been in active development since 2018. dowhy is available under the MIT license. Its main topics are bayesian-networks, causal-inference, causal-machine-learning, causal-models.
What is 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.
Is dowhy open source?
dowhy is an open-source project. It is released under the MIT license.
Is dowhy free?
Yes. dowhy is free and open source — you can use, modify and self-host it.
What license does dowhy use?
dowhy is available under the MIT license.
What language is dowhy written in?
dowhy is written mainly in Python.
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