What is MvcMembership?

53/100
Trust Score (C-)
⚠️ Use Caution

MvcMembership is a nuget that The starter kit provides the Asp.Net MVC controllers, models, and views needed to administer users & roles. This package contains classes needed by the MvcMembership.Mvc package to provide a testable . It has a Nerq Trust Score of 53/100 (C-). 0 GitHub stars. Published by Troy Goode. Last analyzed April 2026.

Why This Score

Trust & Safety Overview

53
TRUST SCORE
C-
GRADE
0
STARS
0
DOWNLOADS

What MvcMembership Does

MvcMembership is a nuget in the nuget category. The starter kit provides the Asp.Net MVC controllers, models, and views needed to administer users & roles. This package contains classes needed by the MvcMembership.Mvc package to provide a testable interface to ASP.Net's MembershipProvider and RoleProvider features.. It is published by Troy Goode and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use MvcMembership

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

Details

AuthorTroy Goode
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=mvcmembership

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

Frequently Asked Questions

What is MvcMembership used for?
MvcMembership is a nuget tool. The starter kit provides the Asp.Net MVC controllers, models, and views needed to administer users & roles. This package contains classes needed by the MvcMembership.Mvc package to provide a testable .
Is MvcMembership free?
License: Check project page. MvcMembership has 0 GitHub stars.
Is MvcMembership safe?
MvcMembership has a Nerq Trust Score of 53/100 (C-). Use with caution.
What are alternatives to MvcMembership?
Top alternatives: . See full comparison.

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

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