What is Polly-Signed?

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

Polly-Signed is a nuget that Polly is a .NET 4.5 / .NET Standard 1.1 library that allows developers to express resilience and transient fault handling policies such as Retry, Circuit Breaker, Timeout, Bulkhead Isolation and Fallb. It has a Nerq Trust Score of 50/100 (C-). 0 GitHub stars. Published by Michael Wolfenden, App vNext. Last analyzed March 2026.

Why This Score

Trust & Safety Overview

50
TRUST SCORE
C-
GRADE
0
STARS
0
DOWNLOADS

What Polly-Signed Does

Polly-Signed is a nuget in the nuget category. Polly is a .NET 4.5 / .NET Standard 1.1 library that allows developers to express resilience and transient fault handling policies such as Retry, Circuit Breaker, Timeout, Bulkhead Isolation and Fallback in a fluent and thread-safe manner.. It is published by Michael Wolfenden, App vNext and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Polly-Signed

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

Details

AuthorMichael Wolfenden, App vNext
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=polly-signed

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

Frequently Asked Questions

What is Polly-Signed used for?
Polly-Signed is a nuget tool. Polly is a .NET 4.5 / .NET Standard 1.1 library that allows developers to express resilience and transient fault handling policies such as Retry, Circuit Breaker, Timeout, Bulkhead Isolation and Fallb.
Is Polly-Signed free?
License: Check project page. Polly-Signed has 0 GitHub stars.
Is Polly-Signed safe?
Polly-Signed has a Nerq Trust Score of 50/100 (C-). Use with caution.
What are alternatives to Polly-Signed?
Top alternatives: . See full comparison.

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