What is Unquote?

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

Unquote is a nuget that Unquote is not just another DSL or API for making unit test assertions. Instead, assertions are written as plain, statically-checked F# quoted expressions and test failure messages are given as step-b. It has a Nerq Trust Score of 50/100 (C-). 0 GitHub stars. Published by Stephen Swensen. Last analyzed October 2026.

Why This Score

Trust & Safety Overview

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What Unquote Does

Unquote is a nuget in the nuget category. Unquote is not just another DSL or API for making unit test assertions. Instead, assertions are written as plain, statically-checked F# quoted expressions and test failure messages are given as step-by-step F# expression evaluations. Unquote integrates configuration-free with all exception-based unit testing frameworks including xUnit.net, NUnit, and Expecto. Unquote may even be used within FSI s. It is published by Stephen Swensen and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Unquote

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

Details

AuthorStephen Swensen
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=unquote

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

Frequently Asked Questions

What is Unquote used for?
Unquote is a nuget tool. Unquote is not just another DSL or API for making unit test assertions. Instead, assertions are written as plain, statically-checked F# quoted expressions and test failure messages are given as step-b.
Is Unquote free?
License: Check project page. Unquote has 0 GitHub stars.
Is Unquote safe?
Unquote has a Nerq Trust Score of 50/100 (C-). Use with caution.
What are alternatives to Unquote?
Top alternatives: . See full comparison.

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

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