What is aissemble-foundation-core-python?

64/100
Trust Score (C+)
⚠️ Use Caution

aissemble-foundation-core-python is a pypi that Core classes for supporting concepts (alerting, metadata, etc) that are needed across most Python-based components. It has a Nerq Trust Score of 64/100 (C+). 0 GitHub stars. Published by aiSSEMBLE Baseline Community. Last analyzed May 2026.

Why This Score

Trust & Safety Overview

64
TRUST SCORE
C+
GRADE
0
STARS
0
DOWNLOADS

What aissemble-foundation-core-python Does

aissemble-foundation-core-python is a pypi in the pypi category. Core classes for supporting concepts (alerting, metadata, etc) that are needed across most Python-based components. It is published by aiSSEMBLE Baseline Community and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use aissemble-foundation-core-python

aissemble-foundation-core-python is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthoraiSSEMBLE Baseline Community
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=aissemble-foundation-core-python

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

Frequently Asked Questions

What is aissemble-foundation-core-python used for?
aissemble-foundation-core-python is a pypi tool. Core classes for supporting concepts (alerting, metadata, etc) that are needed across most Python-based components.
Is aissemble-foundation-core-python free?
License: Check project page. aissemble-foundation-core-python has 0 GitHub stars.
Is aissemble-foundation-core-python safe?
aissemble-foundation-core-python has a Nerq Trust Score of 64/100 (C+). Use with caution.
What are alternatives to aissemble-foundation-core-python?
Top alternatives: . See full comparison.

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

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