What is styles-from-html?

48/100
Trust Score (D)
⚠️ Use Caution

styles-from-html is a npm that Given html, will return all css styles from style tags as a concatenated string, as well as the resulting html with these style tags removed. Useful when you need to pass in css that is separated from. It has a Nerq Trust Score of 48/100 (D). 0 GitHub stars. Published by tommedema. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

48
TRUST SCORE
D
GRADE
0
STARS
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DOWNLOADS

What styles-from-html Does

styles-from-html is a npm in the npm category. Given html, will return all css styles from style tags as a concatenated string, as well as the resulting html with these style tags removed. Useful when you need to pass in css that is separated from html to another library while having declared css rule. It is published by tommedema and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use styles-from-html

styles-from-html is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authortommedema
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=styles-from-html

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

Frequently Asked Questions

What is styles-from-html used for?
styles-from-html is a npm tool. Given html, will return all css styles from style tags as a concatenated string, as well as the resulting html with these style tags removed. Useful when you need to pass in css that is separated from.
Is styles-from-html free?
License: Check project page. styles-from-html has 0 GitHub stars.
Is styles-from-html safe?
styles-from-html has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to styles-from-html?
Top alternatives: . See full comparison.

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

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