{"categories":[{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics/3"}],"enrichment":{"capability":"ProxSuite is a numerically robust quadratic programming solver that handles dense, sparse, and matrix-free problems with specialized algorithms for robotics and general optimization.","skillfed_tags":["optimization","quadratic-programming","robotics"],"use_cases":["Solve quadratic programs in robotics applications, such as inverse dynamics with contacts via TSID.","Use as a backend solver within CVXPY or CasADi for convex optimization modeling.","Handle large-scale or sparse QPs where specialized matrix factorization backends improve performance.","Solve batches of QPs in parallel for parameter-sweep or sensitivity analysis workflows.","Detect and handle infeasible QPs or find the closest feasible solution when problems are ill-posed."],"what_it_does":"ProxSuite is a collection of numerical solvers for quadratic programs (QPs), linear programs (LPs), and related optimization problems, built on primal-dual proximal algorithms. It targets robotics applications but is domain-agnostic and can solve dense, sparse, or matrix-free problems. The package is a C++ template library with Python bindings, offering warm-starting, batch solving, handling of nonconvex QPs, and infeasibility detection.\n\nThe core solver, ProxQP, handles standard QP form with equality and inequality constraints. It is integrated into CVXPY, CasADi, and TSID, and is actively maintained by research groups at Inria and \u00c9cole Normale Sup\u00e9rieure de Paris. Installation is straightforward via pip, conda, or brew on Linux, macOS, and Windows; runtime dependencies are numpy and scipy.","worth_installing":"Yes, if you need a robust, actively maintained QP solver with good performance on hard problems and integration into major optimization ecosystems. The permissive BSD-2-Clause license, medium install friction, and zero known vulnerabilities make it a safe choice. Install with caution only if your platform is not among the prebuilt wheel targets (Linux x86_64/aarch64, macOS Intel/ARM, Windows)."},"id":"proxsuite","links":{"html":"https://skillfed.io/packages/proxsuite","md":"https://skillfed.io/packages/proxsuite.md","pypi":"https://pypi.org/project/proxsuite/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-05-11","license_spdx":"BSD-2-Clause","license_treatment":"permissive","name":"proxsuite","python_support":"supports_current","summary":"Quadratic Programming Solver for Robotics and beyond."},"popularity":{"monthly_downloads":102765,"position":12850,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.7.3"}