QPALM is a numerical optimization package that finds stationary points of (possibly nonconvex) quadratic programs, that is
\begin{equation*} \begin{aligned} & \underset{x}{\textbf{minimize}} & & \tfrac12 x^\top Q x + q^\top x\\ & \textbf{subject to} & & b_\mathrm{min} \le Ax \le b_\mathrm{max} \\ \end{aligned} \end{equation*}

Documentation

The documentation can be found at: https://kul-optec.github.io/QPALM/Doxygen
Examples are included as well: https://kul-optec.github.io/QPALM/Doxygen/examples.html

Installation

Python

The QPALM Python interface is available from PyPI, you can install it using:
python3 -m pip install qpalm

Julia, Matlab, C/C++/Fortran

Installation instructions for the Julia, Matlab, C, C++ and Fortran interfaces, as well as instructions for building QPALM from source, can be found on GitHub.

Supported platforms

QPALM is written in C, with interfaces for C++, Python, Julia, Matlab and Fortran. The code itself is portable across all major platforms. Binaries are available for Linux on x86-64, AArch64, ARMv7 and ARMv6, for macOS on x86-64 and ARM64, and for Windows on x86-64.

Benchmarks

Check out the papers below for detailed benchmark tests comparing QPALM with state-of-the-art solvers.

Citing

If you use QPALM in your research, please cite the following paper:
@inproceedings{hermans2019qpalm,
    author      = {Hermans, B. and Themelis, A. and Patrinos, P.},
    booktitle   = {58th IEEE Conference on Decision and Control},
    title       = {{QPALM}: {A} {N}ewton-type {P}roximal {A}ugmented {L}agrangian {M}ethod for {Q}uadratic {P}rograms},
    year        = {2019},
    volume      = {},
    number      = {},
    pages       = {},
    doi         = {},
    issn        = {},
    month       = {Dec.},
}

Project links

Data verified by PyPI on Aug 26, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

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  • Released:
Latest release

1 maintainer

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Data sourced directly from PyPI's database.
Avatar for pieterp from gravatar.com pieterp

Credits

Author: Ben Hermans

Maintainer: Pieter Pas

GitHub Statistics

Data verified by PyPI on Aug 26, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

LGPL-3.0-or-later
View SPDX License List

Requires

Python >=3.9

Provides Extra

debug test

Tags

optimization augmented-lagrangian proximal qp quadratic-programming nonconvex ladel

Classifiers

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This release

1.3.0 This release

74 files

1.2.6

63 files

1.2.5

50 files

1.2.4

50 files

1.2.3

56 files

1.2.2

56 files

1.2.1

52 files

1.2.0

52 files

Pre-release

1.1.5a1

52 files

1.1.4.post1

35 files

1.1.4

35 files

1.1.3

35 files

Pre-release

1.1.3b2

35 files

Pre-release

1.1.3b1

9 files

1.1.2

13 files

1.1.1

13 files

1.1.0

10 files

1.0.0

10 files

Pre-release

0.0.0a3

10 files

Pre-release

0.0.0a2

10 files

Pre-release

0.0.0a1

10 files

Pre-release

0.0.0a0

10 files

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