proxsuite

library0.7.3pypypi✓ verified 88d ago

The ProxSuite library provides an efficient QP solver tailored for robotics and optimization, with implementations of the ProxQP and OSQP algorithms. The current version is 0.7.2.post1, released under a permissive license. It supports Python >= 3.8 and has a bimonthly release cadence.

ai-ml data

pip install proxsuite

github ↗package ↗homepage ↗

INSTALL

IMPORT

SIG · PROXSUITE

proxsuite

ai-mlpythonv0.7.3

Install

7.5s avg

Import

—

Disk

230MB

Pass rate

5/ 10

Env Coverage5 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v0.7.3 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

build_error

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 7.5s · import 0.000s · 226MB

230MB installed

● package 230MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

proxsuite

✓ import proxsuite

The main module. Submodules like proxsuite.proxqp are accessed via dot notation.

proxqp

✓ from proxsuite import proxqp

✗ import proxqp

Direct import 'proxqp' is not available; it is a submodule of proxsuite.

Minimal example solving a dense QP with inequality constraints.

import proxsuite import numpy as np # Solve a simple QP: min 0.5 x'Hx + g'x s.t. Cx <= d H = np.eye(2) g = np.array([-2, -3]) C = np.array([[1, 2], [-1, 0]]) d = np.array([4, 0]) # Create solver and solve qp = proxsuite.proxqp.dense.QP(H, g, C, d) proxsuite.proxqp.dense.solve(qp) print(qp.results.x)

Debug

Known issues

breakingThe 'proxsuite.quadprog' module (which wrapped quadprog) was removed in version 0.4.0. Use 'proxsuite.proxqp' instead.

fix

Replace 'from proxsuite import quadprog' with 'from proxsuite import proxqp'. The API is different; see migration guide.

affects: >=0.4.0

breakingThe 'warm_start' parameter in solve() was renamed to 'warm_start' in version 0.6.0. The old name 'warm_start' is still accepted but deprecated.

fix

Use 'warm_start' (with underscore) consistently. The old spelling may be removed in future releases.

affects: >=0.6.0

gotchaDo not pass NumPy arrays with dtype=float32. The solver expects float64. Silently truncates precision leading to unexpected results.

fix

Ensure arrays are float64: array.astype(np.float64).

affects: all

deprecatedThe 'results.x' attribute for primal solution is deprecated in favor of 'results.x_solution' (from v0.7.0).

fix

Use qp.results.x_solution instead of qp.results.x.

affects: >=0.7.0

Errors

Common errors & fixes

ModuleNotFoundError: No module named 'proxqp'

Direct import of 'proxqp' instead of using 'proxsuite.proxqp'

fix

Use 'from proxsuite import proxqp' or 'import proxsuite.proxqp as proxqp'.

ValueError: The matrix is not symmetric positive definite.

The Hessian matrix H or constraint matrix C has not been properly formatted or the QP is infeasible.

fix

Verify that H is symmetric positive semidefinite (e.g., cast to symmetric: H = (H + H.T)/2). Check problem dimensions.

AttributeError: module 'proxsuite' has no attribute 'quadprog'

Old code using removed quadprog wrapper.

fix

Update to use proxsuite.proxqp. See migration guide in documentation.

ImportError: cannot import name 'solve' from 'proxsuite.proxqp'

Incorrect import path. The solve function is inside a backend submodule (dense/sparse).

fix

Use 'from proxsuite.proxqp.dense import solve' (or sparse).

Upgrade

Version history

0.7.3latest on PyPI · released May 12, 2026

Audit

Dependencies

numpyrequiredCore data structures and linear algebra

scipyoptionalOptional for sparse matrix support

Agent activity

14 hits · last 30 days

node

Resources

githubhttps://github.com/cmake-wheel/proxsuite ↗

packagehttps://pypi.org/project/proxsuite/ ↗

homepagehttps://proxsuite.ai ↗