Metaheuristics Python Packages

pyswarms

A research toolkit for particle swarm optimization in Python

genoxide

Optimization for Rust and Python: genetic algorithms, CMA-ES, differential evolution, multi-objective, L-BFGS-B, Adam, MMA and more. The same results on every platform.

mealpy

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

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.

moptipyapps

Applications of Metaheuristic Optimization in Python

pymetagen-datalabupo

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

evox

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

krna

KRNA / SKROA: gradient-free biphasic swarm optimization in Python — Lévy-flight exploration + gradient exploitation, multi-objective, scikit-learn hyperparameter tuning. pip install krna

pymetaheuristics

Combinatorial Optimization problems with quickly good solving.

metaheuristic-designer

Framework for designing, testing and evaluating metaheuristic optimization algorithms.

evolopy

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

cuckoo-library

A library that provides operations for metaheuristic algorithms

optapy

OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.

tsp-framework

Framework de algoritmos para resolver el Problema del Vendedor Viajero

digneapy

Diverse Instance Generator with Quality Diversity and Evolutionary Computation

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.

anmetal

Another Numeric and Metaheuristics Library with a bunch of populational metaheuristics, gold standard functions etc

antco

Ant-based optimisation framework implemented in Cython/Python for graphs exploration.

optframe

Python bindings for OptFrame C++ Functional Core

graforvfl

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

tide-feature-selection

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

neuroptimiser

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

metaperceptron

MetaPerceptron: A Standardized Framework For Metaheuristic-Driven Multi-layer Perceptron Optimization