Optimization Algorithms Python Packages

clarabel

Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.

mip

Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs

pyswarms

A research toolkit for particle swarm optimization in Python

pylbfgs

:mountain_cableway: Python/Cython wrapper for liblbfgs

py-bobyqa

Python-based Derivative-Free Optimization with Bound Constraints

pygmo

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

cvxportfolio

Portfolio optimization and back-testing.

dfo-ls

Python-based Derivative-Free Optimizer for Least-Squares

unopy

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

pynomadbbo

NOMAD - A blackbox optimization software

evotorch

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

pyslsqp

A transparent Python interface to the SLSQP optimization algorithm, with advanced features and visualization capabilities.

pyglobalsearch

A multistart framework for global optimization with scatter search and local NLP solvers written in Rust

mchammer

Implementation of cheap Monte Carlo optimisation of bonds in molecules

cspy

A collection of algorithms for the (Resource) Constrained Shortest Path problem in Python / C++ / C#

timefold

The open source Solver AI for Java and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.

pdfo

Powell's Derivative-Free Optimization solvers.

ganesh-rs

A Rust optimization library

greyjack

GreyJack Solver is a "jack of all trades" constraint metaheuristic solver for Python, built on the robust foundations of Rust and Polars

moptipy

Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experimental results can be evaluated in various ways, including diagrams, tables, and export to Excel.

opytimizer

🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.

pysolnp

C++ implementation of the SQP algorithm SOLNP, utilizing Lagrangian Relaxation to handle both Inequality and Equality constraint functions. Good for solving constrained objective functions on convex surfaces.

geneticalgorithm2

Supported highly optimized and flexible genetic algorithm package for python3.8+

fides

Trust Region Optimization in Python