What is cellnexuspy?

50/100
Trust Score (C-)
⚠️ Use Caution

cellnexuspy is a pypi that Provides access to a copy of the Human Cell Atlas, but with harmonised metdata. This allows for uniform querying across numerous datasets within the Atlas using common fields such as cell type, tissue. It has a Nerq Trust Score of 50/100 (C-). 0 GitHub stars. Published by Stefano Mangiola. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

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What cellnexuspy Does

cellnexuspy is a pypi in the pypi category. Provides access to a copy of the Human Cell Atlas, but with harmonised metdata. This allows for uniform querying across numerous datasets within the Atlas using common fields such as cell type, tissue type, and patient ethnicity. Usage involves first querying the metadata table for cells of interest, and then downloading the corresponding cells into a anndata object.. It is published by Stefano Mangiola and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use cellnexuspy

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

Details

AuthorStefano Mangiola
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=cellnexuspy

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

Frequently Asked Questions

What is cellnexuspy used for?
cellnexuspy is a pypi tool. Provides access to a copy of the Human Cell Atlas, but with harmonised metdata. This allows for uniform querying across numerous datasets within the Atlas using common fields such as cell type, tissue.
Is cellnexuspy free?
License: Check project page. cellnexuspy has 0 GitHub stars.
Is cellnexuspy safe?
cellnexuspy has a Nerq Trust Score of 50/100 (C-). Use with caution.
What are alternatives to cellnexuspy?
Top alternatives: . See full comparison.

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

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