py-why/dowhy
Python library for causal inference that models and tests causal assumptions using causal graphical models and potential outcomes frameworks.

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DoWhy provides a unified framework for causal reasoning by combining causal graphical models with potential outcomes frameworks. The library enables explicit modeling of causal assumptions and supports testing hypotheses about cause-and-effect relationships through techniques like do-calculus and treatment effect estimation. It is part of the PyWhy ecosystem focused on causal analysis methods.