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ProxSuite

  • Software
  • Robot arms and industry
  • Library

A C++ collection of numerical solvers for linear and quadratic programs, built on primal-dual proximal algorithms, aimed at robotics and other optimization uses.

Made by SimpleRobotics, France (checked on github.com/Simple-Robotics (opens in a new tab)).

Source on GitHub: github.com/Simple-Robotics/proxsuite (opens in a new tab). Facts read at commit 9baa1b2 (opens in a new tab).

Licenses

Code
BSD-2-Clause (opens in a new tab)

Read by Robotheca from LICENSE (opens in a new tab) (BSD-2-Clause) at commit 9baa1b2 (opens in a new tab), on 16 Oct 2026.

Commercial use
Yes

What it does

  • Offers solvers for dense, sparse, and matrix-free problems through a unified API.
  • Its ProxQP solver handles quadratic programs with equality and inequality constraints.
  • Supports batch solving in parallel, nonconvex QPs, and finding the closest feasible QP when a problem looks infeasible.
  • QPLayer differentiates QP solutions so they can be used as a layer in learning pipelines, with a PyTorch interface.
  • Provides Python and Julia bindings alongside its header-only C++ 14/17/20 library.
  • Already integrated into CVXPY, CasADi, and TSID.

Written by Robotheca from the project's README (opens in a new tab) at commit 9baa1b2.

Getting started

Difficulty
Advanced

Maintenance

Status
Active: a commit in the last 90 days
Newest commit
16 Oct 2026 on devel
Latest release
v0.7.3 (11 May 2026)

Checked on GitHub on 16 Oct 2026.

Links

Robots that can run it

No robot on Robotheca is linked to it yet. Links come from a robot's robot.yaml, from its dependency files read as text, or from Robotheca's editors.

Robotheca lists software as a reference: nothing is hosted or run here, and every fact links to where it was read.