What is regex-common?

48/100
Trust Score (D)
⚠️ Use Caution

regex-common is a npm that Introducing regex-common, the go-to npm package for all your regular expression needs. Simplify your development workflow with pre-built, tested, and highly customizable regex patterns. Say goodbye to. It has a Nerq Trust Score of 48/100 (D). 0 GitHub stars. Published by lotus-web-systems. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

48
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS

What regex-common Does

regex-common is a npm in the npm category. Introducing regex-common, the go-to npm package for all your regular expression needs. Simplify your development workflow with pre-built, tested, and highly customizable regex patterns. Say goodbye to regex headaches and hello to cleaner, more efficient c. It is published by lotus-web-systems and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use regex-common

regex-common is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorlotus-web-systems
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=regex-common

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

Frequently Asked Questions

What is regex-common used for?
regex-common is a npm tool. Introducing regex-common, the go-to npm package for all your regular expression needs. Simplify your development workflow with pre-built, tested, and highly customizable regex patterns. Say goodbye to.
Is regex-common free?
License: Check project page. regex-common has 0 GitHub stars.
Is regex-common safe?
regex-common has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to regex-common?
Top alternatives: . See full comparison.

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

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