Package list

Packages for blackbox optimization

Python packages for optimization using black-box search, gradient-free optimization and metaheuristics such as evolutionary algorithms.

	Comment
optuna	A hyperparameter and black-box optimization framework using adaptive sampling strategies such as TPE and CMA-ES, with built-in pruning and a web dashboard.	486K	6	11,729
pymoo	A comprehensive framework for multi-objective optimization, featuring NSGA-II, NSGA-III, and many other evolutionary algorithms with visualization support.	23K	2	—
deap	A flexible evolutionary computation framework that supports genetic algorithms, genetic programming, evolution strategies, and particle swarm optimization.	13K	1	—
nevergrad	Meta's gradient-free optimization library with a large collection of algorithms (CMA-ES, DE, PSO, etc.) designed for noisy and high-dimensional black-box problems.	14K	0	4,161
hyperopt	Distributed hyperparameter optimization using random search and Tree of Parzen Estimators (TPE), with MongoDB back-end support for parallel trials.	93K	2	7,849

keras-tunerA Hyperparameter Tuning Library for Keras
scikit-optimizeSequential model-based optimization toolbox.
optaxA gradient processing and optimization library in JAX.
cvxoptConvex optimization package
cvxpyA domain-specific language for modeling convex optimization problems in Python.
flamlA fast library for automated machine learning and tuning
peftParameter-Efficient Fine-Tuning (PEFT)
h2oH2O, Fast Scalable Machine Learning, for python
optreeOptimized PyTree Utilities.
pyomoThe Pyomo optimization modeling framework

keras-tunerA Hyperparameter Tuning Library for Keras
scikit-optimizeSequential model-based optimization toolbox.
optaxA gradient processing and optimization library in JAX.
cvxoptConvex optimization package
cvxpyA domain-specific language for modeling convex optimization problems in Python.
flamlA fast library for automated machine learning and tuning
peftParameter-Efficient Fine-Tuning (PEFT)
h2oH2O, Fast Scalable Machine Learning, for python
optreeOptimized PyTree Utilities.
pyomoThe Pyomo optimization modeling framework

	Comment
optuna	A hyperparameter and black-box optimization framework using adaptive sampling strategies such as TPE and CMA-ES, with built-in pruning and a web dashboard.	486K	6	11,729
pymoo	A comprehensive framework for multi-objective optimization, featuring NSGA-II, NSGA-III, and many other evolutionary algorithms with visualization support.	23K	2	—
deap	A flexible evolutionary computation framework that supports genetic algorithms, genetic programming, evolution strategies, and particle swarm optimization.	13K	1	—
nevergrad	Meta's gradient-free optimization library with a large collection of algorithms (CMA-ES, DE, PSO, etc.) designed for noisy and high-dimensional black-box problems.	14K	0	4,161
hyperopt	Distributed hyperparameter optimization using random search and Tree of Parzen Estimators (TPE), with MongoDB back-end support for parallel trials.	93K	2	7,849