ljvmiranda921/pyswarms

Health v2 · maintenance only

Adoption not part of the score

1393 stars · 337 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

PySwarms is a Python research toolkit for particle swarm optimization (PSO), offering a high-level declarative interface with built-in optimizers, objective functions, plotting, and hyperparameter search tools. It targets swarm intelligence researchers, practitioners, and students, though the maintainer has stopped active development and recommends alternatives like scikit-opt.

Use cases

• optimize a continuous objective function with particle swarm optimization
• run PSO for hyperparameter search in machine learning models
• visualize swarm movement and cost history during optimization
• implement and test custom swarm intelligence algorithms in Python
• solve global optimization problems with metaheuristics
• teach or study swarm intelligence with a high-level PSO library

When to choose

• you need a simple, well-documented Python PSO library for research or teaching
• you want built-in plotting and objective functions for swarm optimization experiments
• you prefer a high-level declarative API over writing PSO from scratch

When to avoid

• you need actively maintained software with recent bug fixes and new Python version support
• you need a broader set of metaheuristics beyond PSO (consider scikit-opt)
• you require production-grade optimization performance at scale

Facets

library · maturity abandoned

machine-learning math data-science machine-learning data-science python cross-platform particle-swarm-optimization pso swarm-intelligence metaheuristics global-optimization optimization algorithms

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