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.

The Advanced Proximal Optimization Toolbox

Simple Eigen-C++ wrapper for OSQP library

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

A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region and merit function/filter method/funnel method). Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.

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)

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

A Julia interface to the Gurobi Optimizer

Efficient modeling interface for mathematical optimization in Python

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

A JavaScript library to allocate and optimize financial portfolios.

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

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

Optimus is a mathematical programming library for Scala.