33.7K ·GitHub
What is this?
An index of awesome lists: one page linking to hundreds of topic-specific awesome-* collections — from programming languages to DevOps, security and design — each maintained by its own curator.
An index of awesome lists: one page linking to hundreds of topic-specific awesome-* collections — from programming languages to DevOps, security and design — each maintained by its own curator.So it's one list, or a directory of many lists?A directory, not a resource in itself: entries are grouped under headings like Programming Languages and General, each line linking to a separate list, often credited with a by @author note.
A directory, not a resource in itself: entries are grouped under headings like Programming Languages and General, each line linking to a separate list, often credited with a by @author note.Are the links annotated or quality-checked in any way?No — entries are bare links with no descriptions or ratings, and this repo only curates the index, so what you find behind each link depends on that list's own maintainers.
No — entries are bare links with no descriptions or ratings, and this repo only curates the index, so what you find behind each link depends on that list's own maintainers.Who gets the most out of it?Anyone hunting a quality starting point: beginners get a trusted first link per topic, while experienced developers use it to reach niche lists like RNN papers, Prometheus alerting or MLOps.
Anyone hunting a quality starting point: beginners get a trusted first link per topic, while experienced developers use it to reach niche lists like RNN papers, Prometheus alerting or MLOps.Can I copy or fork the list for my own project?Yes — it is published under Creative Commons Attribution 4.0 International, so you can reuse and remix it freely as long as you give attribution.
Yes — it is published under Creative Commons Attribution 4.0 International, so you can reuse and remix it freely as long as you give attribution.Are there any surprising sections?Yes — next to Docker and Machine Learning sit Mental Health, Lego, Space, Science Fiction, Sheet Music, Sound and Honeypots, so the definition of awesomeness here is generous.
Yes — next to Docker and Machine Learning sit Mental Health, Lego, Space, Science Fiction, Sheet Music, Sound and Honeypots, so the definition of awesomeness here is generous.Why bookmark this instead of searching GitHub directly?Discovery speed: one page surfaces the well-known list for almost any topic — from Go patterns to Prometheus alerting — without you having to guess repository names.
Discovery speed: one page surfaces the well-known list for almost any topic — from Go patterns to Prometheus alerting — without you having to guess repository names.What are similar projects?awesome, awesome-guidelines, every-programmer-should-know, rust-learning, HelloGitHub, AngularJS-Learning, golang-developer-roadmap, awesome-modern-cpp
awesome, awesome-guidelines, every-programmer-should-know, rust-learning, HelloGitHub, AngularJS-Learning, golang-developer-roadmap, awesome-modern-cppWhich topics is it in?index, collection, ruby, computer-science, programming, github, awesome, reference, guide, learning-resources, documentation, developers
index, collection, ruby, computer-science, programming, github, awesome, reference, guide, learning-resources, documentation, developers