What is remark-responsive-tables?

48/100
Trust Score (D)
⚠️ Use Caution

remark-responsive-tables is a npm that Creates a responsibe table by extracting `thead` titles and injecting them into each `tbody` row, those are hidded by default on desktop with CSS and displayed on mobile.. It has a Nerq Trust Score of 48/100 (D). 0 GitHub stars. Published by montogeek. Last analyzed October 2026.

Why This Score

Trust & Safety Overview

48
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS

What remark-responsive-tables Does

remark-responsive-tables is a npm in the npm category. Creates a responsibe table by extracting `thead` titles and injecting them into each `tbody` row, those are hidded by default on desktop with CSS and displayed on mobile.. It is published by montogeek and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use remark-responsive-tables

remark-responsive-tables is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authormontogeek
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=remark-responsive-tables

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

Frequently Asked Questions

What is remark-responsive-tables used for?
remark-responsive-tables is a npm tool. Creates a responsibe table by extracting `thead` titles and injecting them into each `tbody` row, those are hidded by default on desktop with CSS and displayed on mobile..
Is remark-responsive-tables free?
License: Check project page. remark-responsive-tables has 0 GitHub stars.
Is remark-responsive-tables safe?
remark-responsive-tables has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to remark-responsive-tables?
Top alternatives: . See full comparison.

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

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