What is sqlite-net?

50/100
Trust Score (C-)
⚠️ Use Caution

sqlite-net is a nuget that sqlite-net is an open source, minimal library to allow .NET and Mono applications to store data in SQLite databases. It is written in C# 3.0 and is meant to be simply compiled in with your projects. I. It has a Nerq Trust Score of 50/100 (C-). 0 GitHub stars. Published by Frank Krueger. Last analyzed July 2026.

Why This Score

Trust & Safety Overview

50
TRUST SCORE
C-
GRADE
0
STARS
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DOWNLOADS

What sqlite-net Does

sqlite-net is a nuget in the nuget category. sqlite-net is an open source, minimal library to allow .NET and Mono applications to store data in SQLite databases. It is written in C# 3.0 and is meant to be simply compiled in with your projects. It was first designed to work with MonoTouch on the iPhone, but should work in any other CLI environment.. It is published by Frank Krueger and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use sqlite-net

sqlite-net is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorFrank Krueger
Categorynuget
LicenseNot specified
Typenuget
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=sqlite-net

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

Frequently Asked Questions

What is sqlite-net used for?
sqlite-net is a nuget tool. sqlite-net is an open source, minimal library to allow .NET and Mono applications to store data in SQLite databases. It is written in C# 3.0 and is meant to be simply compiled in with your projects. I.
Is sqlite-net free?
License: Check project page. sqlite-net has 0 GitHub stars.
Is sqlite-net safe?
sqlite-net has a Nerq Trust Score of 50/100 (C-). Use with caution.
What are alternatives to sqlite-net?
Top alternatives: . See full comparison.

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

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