What is wily-angular-commons?

48/100
Trust Score (D)
⚠️ Use Caution

wily-angular-commons is a npm that This package offers a small selection of reusable components that interoperate with the rest of GDIT's Wily offering. If you're interested in contributing or find any bugs, feel free to catch us on Gi. It has a Nerq Trust Score of 48/100 (D). 0 GitHub stars. Published by ndimola. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

48
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS

What wily-angular-commons Does

wily-angular-commons is a npm in the npm category. This package offers a small selection of reusable components that interoperate with the rest of GDIT's Wily offering. If you're interested in contributing or find any bugs, feel free to catch us on GitHub.. It is published by ndimola and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use wily-angular-commons

wily-angular-commons is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorndimola
Categorynpm
LicenseNot specified
Typenpm
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=wily-angular-commons

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

Frequently Asked Questions

What is wily-angular-commons used for?
wily-angular-commons is a npm tool. This package offers a small selection of reusable components that interoperate with the rest of GDIT's Wily offering. If you're interested in contributing or find any bugs, feel free to catch us on Gi.
Is wily-angular-commons free?
License: Check project page. wily-angular-commons has 0 GitHub stars.
Is wily-angular-commons safe?
wily-angular-commons has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to wily-angular-commons?
Top alternatives: . See full comparison.

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

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