What is kafka4net?

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

kafka4net is a nuget that Kafka driver for .NET Event-driven architecture, all asynchronous. Automatic following changes of Leader Partition in case of broker failure. Integration tests are part of the codeb. It has a Nerq Trust Score of 53/100 (C-). 0 GitHub stars. Published by NTent. Last analyzed March 2026.

Why This Score

Trust & Safety Overview

53
TRUST SCORE
C-
GRADE
0
STARS
0
DOWNLOADS

What kafka4net Does

kafka4net is a nuget in the nuget category. Kafka driver for .NET Event-driven architecture, all asynchronous. Automatic following changes of Leader Partition in case of broker failure. Integration tests are part of the codebase. Use Vagrant to provision 1 zookeeper and 3 kafka virtual servers. Use RxExtensions library to expose API and for internal implementation. Support compression (gzip, lz4, snappy).. It is published by NTent and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use kafka4net

kafka4net is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorNTent
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=kafka4net

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

Frequently Asked Questions

What is kafka4net used for?
kafka4net is a nuget tool. Kafka driver for .NET Event-driven architecture, all asynchronous. Automatic following changes of Leader Partition in case of broker failure. Integration tests are part of the codeb.
Is kafka4net free?
License: Check project page. kafka4net has 0 GitHub stars.
Is kafka4net safe?
kafka4net has a Nerq Trust Score of 53/100 (C-). Use with caution.
What are alternatives to kafka4net?
Top alternatives: . See full comparison.

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