GALAHAD 4.0
GALAHAD 4.0: an open source library of Fortran packages with C and Matlab interfaces for continuous optimization - Published in JOSS (2023)
PySLSQP
PySLSQP: A transparent Python package for the SLSQP optimization algorithm modernized with utilities for visualization and post-processing - Published in JOSS (2024)
AGNI
AGNI: A radiative-convective model for lava planet atmospheres - Published in JOSS (2025)
uno
A next-gen SQP & barrier solver for nonlinearly constrained optimization
https://github.com/SciML/Optimization.jl
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
proxsuite-nlp
A primal-dual augmented Lagrangian solver for nonlinear programming on manifolds.
https://github.com/cog-imperial/omlt
Represent trained machine learning models as Pyomo optimization formulations
https://github.com/forieux/qmm
Python Quadratic Majorization-Minimization (MM) optimization algorithms of half-quadratic criteria. Inverses problems, image restoration, denoising, ...
SMFilter
an R package implementing the filtering algorithms for the state-space models on the Stiefel manifold
https://github.com/cvanaret/nonconvex_solver_comparison
This repo collects results of nonlinear optimization solvers on standard benchmark problems
Boscia
Mixed-Integer Convex Programming: Branch-and-bound with Frank-Wolfe-based convex relaxations
bboptpy
Powerful and scalable black-box optimization algorithms for Python and C++.
pyrddlgym-gurobi
Gurobi compilation of RDDL description files to mixed-integer programs, and optimization tools.
casos
CaΣoS is a nonlinear optimization-oriented sum-of-squares toolbox based on the symbolic framework of CasADi.
https://github.com/aldma/pipal.jl
Penalty-Interior-Point ALgorithm for nonlinear optimization
ExaModels
An algebraic modeling and automatic differentiation tool in Julia Language, specialized for SIMD abstraction of nonlinear programs.
symbolfit
Automatic parametric modeling with symbolic regression [Comput Softw Big Sci 9, 12 (2025)]
sagecal
SAGECal is a fast, memory efficient and GPU accelerated radio interferometric calibration program. It supports all source models including points, Gaussians and Shapelets. Distributed calibration using MPI and consensus optimization is enabled. Both spectral and spatial priors can be used as constraints. Tools to build/restore sky models are included.
pyrddlgym-jax
JAX compilation of RDDL description files, and a differentiable planner in JAX.