What is Assembly?

55/100
Trust Score (C)
⚠️ Use Caution

Assembly is a pypi that Assembly is a pythonic object-oriented, mid stack, batteries included framework built on Flask, that adds structure to your Flask application, and group your routes by class.Assembly allows developers. It has a Nerq Trust Score of 55/100 (C). 0 GitHub stars. Published by Mardix. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

55
TRUST SCORE
C
GRADE
0
STARS
0
DOWNLOADS

What Assembly Does

Assembly is a pypi in the pypi category. Assembly is a pythonic object-oriented, mid stack, batteries included framework built on Flask, that adds structure to your Flask application, and group your routes by class.Assembly allows developers to build web applications in much the same way they would build any other object-oriented Python program.Assembly Makes Flask Great Again!. It is published by Mardix and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Assembly

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

Details

AuthorMardix
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=assembly

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

Frequently Asked Questions

What is Assembly used for?
Assembly is a pypi tool. Assembly is a pythonic object-oriented, mid stack, batteries included framework built on Flask, that adds structure to your Flask application, and group your routes by class.Assembly allows developers.
Is Assembly free?
License: Check project page. Assembly has 0 GitHub stars.
Is Assembly safe?
Assembly has a Nerq Trust Score of 55/100 (C). Use with caution.
What are alternatives to Assembly?
Top alternatives: . See full comparison.

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

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