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.
Causing: CAUsal INterpretation using Graphs
A Python implementation of the do-calculus of Judea Pearl et al.
