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,
providing independently usable Python interfaces to upstream libraries,
offering platform portability and integration testing services to upstream projects,
inviting collaborations with upstream projects,
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 source distribution passagemath-latte-4ti2 provides an interface to LattE integrale (for the problems of counting lattice points in and integration over convex polytopes) and 4ti2 (for algebraic, geometric and combinatorial problems on linear spaces).
What is included
Raw access to all executables from Python using sage.features.latte and sage.features.four_ti_2
The binary wheels published on PyPI include a prebuilt copy of LattE integrale and 4ti2.
Examples
Using LattE integrale and 4ti2 programs on the command line:
$ pipx run --spec "passagemath-latte-4ti2" sage -sh -c 'ppi 5' ... ### This makes 47 PPI up to sign ### Writing data file ppi5.gra and matrix file ppi5.mat done.
Finding the installation location of a LattE integrale or 4ti2 program in Python:
$ pipx run --spec "passagemath-latte-4ti2[test]" ipython
In [1]: from sage.features.latte import Latte_count
In [2]: Latte_count().absolute_filename()
Out[2]: '/Users/mkoeppe/.local/pipx/.cache/2dc147a5e4863b4/lib/python3.11/site-packages/sage_wheels/bin/count'
In [3]: from sage.features.four_ti_2 import FourTi2Executable
In [4]: FourTi2Executable('ppi').absolute_filename()
Out[2]: '/Users/mkoeppe/.local/pipx/.cache/2dc147a5e4863b4/lib/python3.11/site-packages/sage_wheels/bin/ppi'
Using the low-level Python interfaces:
$ pipx run --spec "passagemath-latte-4ti2[test]" ipython In [1]: from sage.interfaces.latte import count In [2]: cdd_Hrep = 'H-representation\nbegin\n 6 4 rational\n 2 -1 0 0\n 2 0 -1 0\n 2 0 0 -1\n 2 1 0 0\n 2 0 0 1\n 2 0 1 0\nend\n' In [3]: count(cdd_Hrep, cdd=True) Out[3]: 125
Use with sage.geometry.polyhedron:
$ pipx run --spec "passagemath-latte-4ti2[test]" ipython In [1]: from passagemath_polyhedra import * In [2]: P = Polyhedron(vertices=[[1,0,0], [0,0,1], [-1,1,1], [-1,2,0]]) In [3]: P.volume(measure='induced_lattice', engine='latte') Out[3]: 3
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