EconML

EconML is a Python library for estimating Conditional Average Treatment Effects (CATEs) from observational or experimental data. It provides a suite of advanced machine learning methods, including Double Machine Learning (DML) and Causal Forests, to infer causal relationships and individual-level treatment effects. The current version is 0.16.0, and it maintains an active development pace with major updates and bugfix releases every few months.