The Operator Splitting QP Solver

Linear optimization software

A fast and differentiable QP solver for PyTorch.

Quadratic programming solvers in Python with a unified API

Splitting Conic Solver

Optimization-based real-time path planning for vehicles.

Simple Eigen-C++ wrapper for OSQP library

The Advanced Proximal Optimization Toolbox

Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.

General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python

A C++ interface for the OSQP quadratic programming solver.

A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)

A JavaScript library to allocate and optimize financial portfolios.

Clarabel.jl: Interior-point solver for convex conic optimisation problems in Julia.

Optimus is a mathematical programming library for Scala.

A next-gen solver for nonlinearly constrained nonconvex optimization. Modular and lightweight, it unifies iterative methods (SQP vs interior points) and globalization techniques (filter method vs merit function, line search vs trust region method) in a single framework. Competitive against IPOPT, filterSQP, SNOPT, MINOS and CONOPT

A C++ interface to formulate and solve linear, quadratic and second order cone problems.

Simulate the path planning and trajectory planning of quadrotors/UAVs.

qpSWIFT is a light-weight sparse quadratic programming solver

Python interface for OSQP