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.

evotorch

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

ribs

A bare-bones Python library for quality diversity optimization.

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]

sklearn-genetic-opt

ML hyperparameters tuning and features selection, using evolutionary algorithms.

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.

radiate

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

autobotlib

AutoBOT: Explainable AutoML for texts

google-vizier-dev

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

x-evolution

Implementation of various evolutionary algorithms, starting with evolutionary strategies

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

fedot

Automated modeling and machine learning framework FEDOT

byron

An evolutionary source-code fuzzer

evomaster

The first open-source AI-driven tool for automatically generating system-level test cases (also known as fuzzing) for web/enterprise applications. Currently targeting whitebox and blackbox testing of Web APIs, like REST, GraphQL and RPC (e.g., gRPC and Thrift).

hypernets

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

yabox

Yet another black-box optimization library for Python