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

unopy

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

niapy

Python microframework for building nature-inspired algorithms. Official docs: https://niapy.org

dfo-ls

Python-based Derivative-Free Optimizer for Least-Squares

py-bobyqa

Python-based Derivative-Free Optimization with Bound Constraints

ganesh-rs

A Rust optimization library

pygmo

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

cspy

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

cvxportfolio

Portfolio optimization and back-testing.

evotorch

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

pdfo

Powell's Derivative-Free Optimization solvers.

blackboxopt

A common interface for blackbox optimization algorithms along with useful helpers like parallel optimization loops, analysis and visualization scripts.

furones

Furones: Approximate Dominating Set Solver

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.

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.

pynomadbbo

Python interface to Nomad 4

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

aegypti

Aegypti: Approximate Clique Solver

sambo

🎯 📈 Sequential and Model-Based Optimization in Python, featuring SCE-UA, SMBO, and SHGO algorithms. SOTA perfomance; 0 deps.

pyslsqp

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