Optimization Methods Python Packages

laddu

Amplitude analysis made short and sweet

pygmo

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

cvxportfolio

Portfolio optimization and back-testing.

unopy

With Uno, finally take full control of your SQP/barrier solver for nonlinearly constrained optimization

laddu-cpu

Amplitude analysis made short and sweet

gridcalc

Python-powered spreadsheets with excel interop and optimization methods.

laddu-local

Amplitude analysis made short and sweet

ganesh-rs

A Rust optimization library

benchopt

A framework for reproducible, comparable benchmarks

laddu-mpi

Amplitude analysis made short and sweet

mutax

🎯 SciPy-like differential evolution optimization in JAX

decopt

In compressed decentralized optimization settings, there are benefits to having multiple gossip steps between subsequent gradient iterations, even when the cost of doing so is appropriately accounted for e.g. by means of reducing the precision of compressed information.

trustregion

Python trust-region subproblem solvers for nonlinear optimization

qqa

Quasi-Quantum Annealing (QQA): a GPU solver for combinatorial & spin-glass optimisation — PyTorch library + live Streamlit dashboard. ICLR 2025.

qmm

Python Quadratic Majorization-Minimization (MM) optimization algorithms of half-quadratic criteria. Inverses problems, image restoration, denoising, ...

pyaugmecon

An AUGMECON based multi-objective optimization solver for Pyomo.

zoofs

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

l4casadi

Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.

optymus

Optimization methods for science and engineering.

desoptpy

DESign OPTimization in PYthon

rbfopt-go

Find better configuration of your Go service with black-box (derivative-free) optimization algorithms.

ttopt

Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.

selective-optimizers

Official implementation of the paper "Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models"

simplestsimulatedannealing

Simplest fast implementation of simulated annlealing method