What is sql_query_parser?

48/100
Trust Score (D)
⚠️ Use Caution

sql_query_parser is a crates that The sql_query_parser project provides a custom Rust parser for SQL-like queries, implemented using the Pest crate. It can parse SELECT statements with advanced query capabilities, including joins, con. It has a Nerq Trust Score of 48/100 (D). 0 GitHub stars. Published by Unknown. Last analyzed October 2026.

Why This Score

Trust & Safety Overview

48
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS

What sql_query_parser Does

sql_query_parser is a crates in the crates category. The sql_query_parser project provides a custom Rust parser for SQL-like queries, implemented using the Pest crate. It can parse SELECT statements with advanced query capabilities, including joins, conditional filtering, aggregate functions, grouping, ordering, and limiting the results.. It is published by Unknown and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use sql_query_parser

sql_query_parser is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

AuthorUnknown
Categorycrates
LicenseNot specified
Typecrates
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=sql-query-parser

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

Frequently Asked Questions

What is sql_query_parser used for?
sql_query_parser is a crates tool. The sql_query_parser project provides a custom Rust parser for SQL-like queries, implemented using the Pest crate. It can parse SELECT statements with advanced query capabilities, including joins, con.
Is sql_query_parser free?
License: Check project page. sql_query_parser has 0 GitHub stars.
Is sql_query_parser safe?
sql_query_parser has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to sql_query_parser?
Top alternatives: . See full comparison.

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

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