Evolutionary Algorithms Python Packages

pygad

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

google-vizier

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

pygmo

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

geneticalgorithm

Genetic Algorithm Package for Python

bluepyopt

Blue Brain Python Optimisation Library

evo-hq-cli

turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.

evo-hq-agent

turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.

ribs

A bare-bones Python library for quality diversity optimization.

evotorch

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

sklearn-genetic-opt

Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.

radiate

A fast and flexible evolution engine for implementing artificial evolution and genetic programming techniques

xcsf

XCSF learning classifier system: rule-based online evolutionary machine learning

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.

google-vizier-dev

Open Source Vizier: Distributed service framework for blackbox optimization and research.

pypop7

[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm variants. In the near future, we will add Learning-Based Optimizers as its extensions. [https://jmlr.org/papers/v25/23-0386.html]

autobotlib

An autoML for explainable text classification.

byron

An evolutionary source-code fuzzer

fedot

Automated modeling and machine learning framework FEDOT

evox

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

oppoppopinit

PyPI package containing opposition learning operators and population initializers for evolutionary algorithms

x-evolution

Implementation of various evolutionary algorithms, starting with evolutionary strategies

mutax

🎯 SciPy-like differential evolution optimization in JAX

niaarm

A minimalistic framework for Numerical Association Rule Mining

yabox

Yet another black-box optimization library for Python