Constrained Optimization Python Packages

unopy

With Uno, finally take full control of your SQP/barrier solver for nonlinearly constrained optimization

geotorch

Constrained optimization toolkit for PyTorch

gradient-free-optimizers

Lightweight optimization with local, global, population-based and sequential techniques across mixed search spaces

pdfo

Powell's Derivative-Free Optimization solvers.

pycddp

Constrained Differential Dynamic Programming Solver for Trajectory Optimization and Model Predictive Control

greyjack

GreyJack Solver is a constraint metaheuristic solver for Python, built on the robust foundations of Rust and Polars. It empowers you to tackle a wide array of constraint optimization problems, including continuous, integer, and mixed-integer challenges with ease and efficiency.

pycsp3

A Python Library for modeling combinatorial constrained problems

corneto

Unified knowledge-driven network inference from omics data

neuromancer

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

mdmm

The Modified Differential Multiplier Method (MDMM) for PyTorch.

openbox

Efficient and generalized blackbox optimization (BBO) system

modestga

Optimized and benchmarked parallel Genetic Algorithm with inequality constraints, and a scipy-like interface

landscapes

A dependency free library of standardized optimization test functions written in pure Python.

facile

Python constraint programming library

cooper-optim

A general-purpose, deep learning-first library for constrained optimization in PyTorch

optymus

Optimization methods for science and engineering.

lite-bo

Efficient and generalized blackbox optimization (BBO) system

psopy

A SciPy compatible super fast Python implementation for Particle Swarm Optimization.

optiprofiler

Benchmarking optimization solvers.

pytorch-lattice

A PyTorch implementation of constrained optimization and modeling techniques

ncopt

Constrained optimization for Pytorch using the SQP-GS algorithm

moo-gbt

Library for Multi-objective optimization in Gradient Boosted Trees

bboptpy

Powerful and scalable black-box optimization algorithms for Python and C++.

pbalm

Proximal augmented Lagrangian method for solving nonconvex structured optimization problems.