gplearn is a genetic programming library for Python that performs symbolic regression. It uses evolutionary algorithms to evolve populations of mathematical expressions, iteratively improving them to discover underlying relationships in data. It provides estimators compatible with scikit-learn’s fit/predict interface and includes functionality for function discovery, transformation, and regression.