Modern C++ framework for symbolic regression.
Python bindings for Operon with easy to use scikit-learn interface.
HeuristicLab is a software environment for heuristic and evolutionary algorithms. It is a desktop software with GUI for Microsoft Windows. It provides an implementation of tree-based Genetic Programming for Symbolic Regression.
High-Performance Symbolic Regression in Python and Julia.
Python code to generate and fit all possible expressions of limited length for a given set of basis functions.
Commercial software for industrial strength data analytics based on GP implemented in Mathematica.
A living benchmark for symbolic regression implemented in Python.
More software repositories can be found on the github page of the research group HEAL.