passagemath-m4ri-m4rie

passagemath: Linear Algebra with m4ri and m4rie

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Project description

passagemath is open source mathematical software in Python, released under the GNU General Public Licence GPLv2+.

It is a fork of SageMath, which has been developed 2005-2026 under the motto “Creating a Viable Open Source Alternative to Magma, Maple, Mathematica, and MATLAB”.

The passagemath fork uses the motto “Creating a Free Passage Between the Scientific Python Ecosystem and Mathematical Software Communities.” It was created in October 2024 with the following goals:

providing modularized installation with pip from binary wheels, - this major project was started in May 2020 in the Sage codebase and completed in passagemath 10.5.29 (May 2025),
establishing first-class membership in the scientific Python ecosystem,
giving clear attribution of upstream projects,
providing independently usable Python interfaces to upstream libraries,
offering platform portability and integration testing services to upstream projects,
inviting collaborations with upstream projects,
building a professional, respectful, inclusive community,
empowering Sage users to participate in the scientific Python ecosystem by publishing packages,
developing a port to WebAssembly (Pyodide, emscripten-forge) for serverless deployment with Javascript,
developing a native Windows port - passagemath 10.6.1 (July 2025) published the first pip-installable wheel packages for native Windows on x86_64, - passagemath packages became available in the [MSYS2 software distribution](https://packages.msys2.org/search?t=pkg&q=passagemath) in November 2025.

Moreover, the passagemath project:

provides a stable, frequently updated version of the Sage distribution,
integrates additional mathematical software, notably Macaulay2, a full set of GAP packages, and the Combinatorial Matrix Recognition library,
curates a library of Sage user packages.

Full documentation is available online.

passagemath attempts to support and provides binary wheels suitable for all major Linux distributions and recent versions of macOS.

Binary wheels for native Windows (x86_64, ARM) are are available for a subset of the passagemath distributions. Use of the full functionality of passagemath on Windows currently requires the use of Windows Subsystem for Linux (WSL) or virtualization.

The supported Python versions in the passagemath-10.8.x series are 3.11.x-3.14.x; the passagemath-10.6.x series (EOL 2026-10) still supports Python 3.10.x.

About this pip-installable distribution package

This pip-installable distribution passagemath-m4ri-m4rie provides modules that depend on the libraries m4ri, m4rie.

What is included

Project details

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10.8.5rc1 pre-release

May 6, 2026

10.8.5rc0 pre-release

Apr 27, 2026

This version

10.8.4

Apr 19, 2026

10.8.4rc0 pre-release

Apr 16, 2026

10.8.3

Mar 30, 2026

10.8.3rc3 pre-release

Mar 28, 2026

10.8.3rc2 pre-release

Mar 26, 2026

10.8.3rc1 pre-release

Mar 25, 2026

10.8.3rc0 pre-release

Mar 23, 2026

10.8.2

Mar 10, 2026

10.8.2rc4 pre-release

Mar 8, 2026

10.8.2rc3 pre-release

Mar 6, 2026

10.8.2rc2 pre-release

Mar 3, 2026

10.8.2rc1 pre-release

Mar 2, 2026

10.8.2rc0 pre-release

Mar 1, 2026

10.8.1

Feb 8, 2026

10.8.1rc3 pre-release

Feb 6, 2026

10.8.1rc2 pre-release

Feb 4, 2026

10.8.1rc1 pre-release

Feb 3, 2026

10.8.1rc0 pre-release

Feb 1, 2026

10.8.1a4 pre-release

Jan 31, 2026

10.8.1a3 pre-release

Jan 28, 2026

10.8.1a2 pre-release

Jan 25, 2026

10.8.1a1 pre-release

Jan 24, 2026

10.6.48

Feb 2, 2026

10.6.47

Jan 15, 2026

10.6.46

Jan 12, 2026

10.6.45

Jan 8, 2026

10.6.44

Jan 5, 2026

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passagemath-m4ri-m4rie 10.8.4

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MD5	`86f9b21933322acd3232e2f404952171`
BLAKE2b-256	`934018162859cfbf1b9bcf29c82ea2a9c4362953c472c0d215c90eba8408a2d0`

Algorithm	Hash digest
SHA256	`a3989ef50721747c7980381c75c95aed8a2e6839c12d7d3f038eaed177bedb68`
MD5	`addb9a8a97445c192c634041ff8616dc`
BLAKE2b-256	`70bb31bdae88115445139cb579e2490cce9f675efe9da8178f26b13384da6473`

Algorithm	Hash digest
SHA256	`f01d1c066ca9367c42375a2af0360a4beb9865109d513b9232b8eee7fde40e87`
MD5	`438e186009c80a781d333b92f3b8486f`
BLAKE2b-256	`1648d071c873726e55872ed821f150ed2c6de36a4e111a715fa3a9ca59703d73`

Algorithm	Hash digest
SHA256	`2725846c100a1971fed36ccec8f199d88d355aba91e3be32a8a1fcc56475e354`
MD5	`3ad02f97020b17b1237ac5b5f683b8af`
BLAKE2b-256	`b30c11cce34eb027a65ac9093fe47ab9e6707d0ecaa6df12ae9d144320021c3c`

Algorithm	Hash digest
SHA256	`c210e11f2092e54c4bd15e593a6c50c46e151d8e765b6f372684c907ae2a37d9`
MD5	`7540f722f9c81b19c2bb80a4b216f435`
BLAKE2b-256	`304f4b589beeba43943e141419f4e21364aacd6deaf9f46cec0240ff1a261b33`

Algorithm	Hash digest
SHA256	`4692f5437d417edf6fe30550eda2c76bfae8ec2b02182367d1a96e354eadd190`
MD5	`a1a49f4269bc266e5b7612b6be8a5995`
BLAKE2b-256	`7ce7860626f0b5a65861c3277e8c01cd6a682241b78f2693970d32b9f0ad1506`

Algorithm	Hash digest
SHA256	`5ca43f09b53d795d13e06149abf92b71b0925ec2e2cff098b086c9b93fe2b54f`
MD5	`ec7c4946e20df95b1e5c408de9b93608`
BLAKE2b-256	`f5076671f3f2dc0f012e1ed6ef19839d385e7df5b1343bdde65c7728591f2006`

Algorithm	Hash digest
SHA256	`cf80d73598ddcb5117d0d33a705f6a89d352a6e62fba022468d88968a1b9b9c5`
MD5	`20dec8e50e61fc858d8875f7a262fc21`
BLAKE2b-256	`415c9640eccc830047f79c50ed76efbd42a5fcae2892c9931196625f217b497a`