awesome-katas VS learn-go-with-tests

Compare awesome-katas vs learn-go-with-tests and see what are their differences.

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awesome-katas learn-go-with-tests
7 30
2,619 21,323
- -
3.0 7.8
6 months ago about 24 hours ago
Go
- 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.

awesome-katas

Posts with mentions or reviews of awesome-katas. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-18.

learn-go-with-tests

Posts with mentions or reviews of learn-go-with-tests. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-02.

What are some alternatives?

When comparing awesome-katas and learn-go-with-tests you can also consider the following projects:

awesome-livecoding - All things livecoding

go - The Go programming language

kaggle-environments

gobyexample - Go by Example

awesome-actions - A curated list of awesome actions to use on GitHub

7days-golang - 7 days golang programs from scratch (web framework Gee, distributed cache GeeCache, object relational mapping ORM framework GeeORM, rpc framework GeeRPC etc) 7天用Go动手写/从零实现系列

awesome-koans - A list of all available kōans

golang-cheat-sheet - An overview of Go syntax and features.

awesome-intelligence - A collaboratively curated list of awesome Open-Source Intelligence (OSINT) Resources

gopl.io - Example programs from "The Go Programming Language"

angular-performance-checklist - ⚡ Cheatsheet for developing lightning fast progressive Angular applications

argo-cd - Declarative Continuous Deployment for Kubernetes