What is passagemath-modules?

60/100
Trust Score (C+)
⚠️ Use Caution

passagemath-modules is a pypi that passagemath: Vectors, matrices, tensors, vector spaces, affine spaces, modules and algebras, additive groups, quadratic forms, homology, coding theory, matroids. It has a Nerq Trust Score of 60/100 (C+). 0 GitHub stars. Published by Matthias Köppe, passagemath contributors. Last analyzed October 2026.

Why This Score

Trust & Safety Overview

60
TRUST SCORE
C+
GRADE
0
STARS
0
DOWNLOADS

What passagemath-modules Does

passagemath-modules is a pypi in the pypi category. passagemath: Vectors, matrices, tensors, vector spaces, affine spaces, modules and algebras, additive groups, quadratic forms, homology, coding theory, matroids. It is published by Matthias Köppe, passagemath contributors and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use passagemath-modules

passagemath-modules is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorMatthias Köppe, passagemath contributors
Categorypypi
LicenseNot specified
Typepypi
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=passagemath-modules

Setup guide · Full safety report · Production review · Is it safe?

Frequently Asked Questions

What is passagemath-modules used for?
passagemath-modules is a pypi tool. passagemath: Vectors, matrices, tensors, vector spaces, affine spaces, modules and algebras, additive groups, quadratic forms, homology, coding theory, matroids.
Is passagemath-modules free?
License: Check project page. passagemath-modules has 0 GitHub stars.
Is passagemath-modules safe?
passagemath-modules has a Nerq Trust Score of 60/100 (C+). Use with caution.
What are alternatives to passagemath-modules?
Top alternatives: . See full comparison.

Last updated October 2026. Trust scores based on automated analysis of public data.

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