Search Packages

pyswarms

A research toolkit for particle swarm optimization in Python

mealpy

A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)

moptipy

A package for metaheuristic optimization in Python.

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.

moptipyapps

Applications of Metaheuristic Optimization in Python

evox

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

evolopy

EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.

optapy

An AI constraint solver that optimizes planning and scheduling problems

tsp-framework

Framework de algoritmos para resolver el Problema del Vendedor Viajero

customhys

Customising optimisation metaheuristics via hyper-heuristic search (CUSTOMHyS). This framework provides tools for solving, but not limited to, continuous optimisation problems using a hyper-heuristic approach for customising metaheuristics.

digneapy

Diverse Instance Generator with Quality Diversity and Evolutionary Computation

anmetal

Another Numeric optimization and Metaheuristics Library

optframe

Python bindings for OptFrame C++ Functional Core

antco

Ant Colony Optimization framework

graforvfl

GrafoRVFL: A Gradient-Free Optimization Framework for Boosting Random Vector Functional Link Network

pymetagen-datalabupo

MetaGen: A framework for metaheuristic development and hyperparameter optimization in machine and deep learning

metaheuristic-designer

Framework for designing, testing and evaluating metaheuristic optimization algorithms.

metaperceptron

MetaPerceptron: A Standardized Framework for Metaheuristic-Trained Multi-Layer Perceptron

tide-feature-selection

Feature selection for real ML pipelines: filters, wrappers, and metaheuristics with cross-validation, reproducibility, and bundled benchmarks.

pymhlib

pymhlib - A Toolbox for Metaheuristics and Hybrid Optimization Methods

neuroptimiser

NeurOptimiser is a neuromorphic optimisation framework in which metaheuristic search emerges from asynchronous spiking dynamics.

pyrade

PyRADE is a production-ready optimization library implementing Differential Evolution (DE), a powerful evolutionary algorithm for global optimization. Unlike traditional implementations that sacrifice code quality for performance, PyRADE proves you can have both through intelligent design.

optimization-benchmarks

A comprehensive Python package with 50+ benchmark functions for optimization algorithms

metaforge

MetaForge: A modular optimization framework for solving Job Shop Scheduling problems using metaheuristics and learning-based approaches.