websocket VS Testify

Compare websocket vs Testify and see what are their differences.

websocket

Minimal and idiomatic WebSocket library for Go (by coder)

Testify

A toolkit with common assertions and mocks that plays nicely with the standard library (by stretchr)
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websocket Testify
18 75
4,568 25,084
1.7% 0.5%
5.7 8.7
17 days ago 6 days ago
Go Go
ISC License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

websocket

Posts with mentions or reviews of websocket. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-08-26.

Testify

Posts with mentions or reviews of Testify. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-08-06.

What are some alternatives?

When comparing websocket and Testify you can also consider the following projects:

nbio - Pure Go 1000k+ connections solution, support tls/http1.x/websocket and basically compatible with net/http, with high-performance and low memory cost, non-blocking, event-driven, easy-to-use.

ginkgo - A Modern Testing Framework for Go

ws - Tiny WebSocket library for Go.

gomega - Ginkgo's Preferred Matcher Library

go-quilljs-delta

gotest.tools - A collection of packages to augment the go testing package and support common patterns.

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Sevalla is the PaaS you have been looking for! Advanced deployment pipelines, usage-based pricing, preview apps, templates, human support by developers, and much more!
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featured
InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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Did you know that Go is
the 4th most popular programming language
based on number of references?