What is unparametrize-sql-query?

48/100
Trust Score (D)
⚠️ Use Caution

unparametrize-sql-query is a npm that Removes string literals, number constants and excess whitespace from an SQL in one pass. The removed string literals and number constants are replaced with '?' and ? respectively.. It has a Nerq Trust Score of 48/100 (D). 0 GitHub stars. Published by oxygens. Last analyzed October 2026.

Why This Score

Trust & Safety Overview

48
TRUST SCORE
D
GRADE
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STARS
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DOWNLOADS

What unparametrize-sql-query Does

unparametrize-sql-query is a npm in the npm category. Removes string literals, number constants and excess whitespace from an SQL in one pass. The removed string literals and number constants are replaced with '?' and ? respectively.. It is published by oxygens and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use unparametrize-sql-query

unparametrize-sql-query is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authoroxygens
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=unparametrize-sql-query

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

Frequently Asked Questions

What is unparametrize-sql-query used for?
unparametrize-sql-query is a npm tool. Removes string literals, number constants and excess whitespace from an SQL in one pass. The removed string literals and number constants are replaced with '?' and ? respectively..
Is unparametrize-sql-query free?
License: Check project page. unparametrize-sql-query has 0 GitHub stars.
Is unparametrize-sql-query safe?
unparametrize-sql-query has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to unparametrize-sql-query?
Top alternatives: . See full comparison.

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

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