Symbolic Regression Python Packages

gplearn

Genetic Programming in Python, with a scikit-learn inspired API

symbolicdsge

A linear DSGE engine with a fully symbolic and modifiable model backend. Includes regression-based equation augmentation capabilities.

flash-ansr

Fast Amortized Neural Symbolic Regression with Transformers and SimpliPy

simplipy

Efficient Simplification of Mathematical Expressions

pyoperon

Python bindings and scikit-learn interface for the Operon library for symbolic regression.

symbolic-regression-toolkit

Toolkit for symbolic regression/equation discovery

adcd

Discover physical correction laws from anomalous data in JAX.

kanx

One library, four surfaces. Production-grade Kolmogorov-Arnold Networks || TensorFlow + PyTorch + ONNX. || A small KAN beats a 10× larger MLP on smooth, separable target. One library. Two backends. Real ONNX export. Docker + Kubernetes ready.

hroch

Extremly fast c++/python symbolic regression library based on parallel local search.

oikan

OIKAN is a neuro-symbolic machine learning framework inspired by Kolmogorov-Arnold representation theorem. It combines the power of modern neural networks with techniques for extracting clear, interpretable symbolic formulas from data. OIKAN is designed to make machine learning models both accurate and Interpretable.

torchsisso

No description available

eckity

EC-KitY: A scikit-learn-compatible Python tool kit for doing evolutionary computation.

physo

Physical Symbolic Optimization

simplegp

Simple Genetic Programming for Symbolic Regression in Python3

symbolfit

Automatic parametric modeling with symbolic regression

genepro

A baseline implementation of genetic programming (using trees to encode programs) with some examples of usage.

pyglyph

Symbolic regression tools.

cartesian

Minimal cartesian genetic programming for symbolic regression.

pysips

A symbolic regression tool designed to work with noisy data

geppy

A framework for gene expression programming (an evolutionary algorithm) in Python

psrn

[𝐍𝐚𝐭𝐮𝐫𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐒𝐜𝐢𝐞𝐧𝐜𝐞] ⚡️ PSE/PSRN: Fast and efficient symbolic expression discovery through parallelized symbolic enumeration. Evaluates millions of expressions simultaneously on GPU with automated subtree reuse.

macrosim

Macroeconomic simulation engine with PySR symbolic regression

exp-minus-log

The Exp-Minus-Log (eml) operator implemented in python

turingbot

Python interface for TuringBot, a symbolic regression software that discovers mathematical formulas from data