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wtf is awesome?

yyx990803/awesome — explained in plain English

Analysis updated 2026-07-17 · repo last pushed 2016-01-26

★ 18Audience · generalComplexity · 1/5DormantSetup · easy

TL;DR

A curated directory of directories that links out to hundreds of other 'awesome' GitHub lists, organized by platform, language, and specialized field.

Mindmap

mindmap
  root((repo))
    What it does
      Links to awesome lists
      Organized by category
      No hosted content itself
    Categories
      Platforms
      Languages
      Dev areas
      Specialized domains
    Use cases
      Explore new tech
      Find vetted resources
      Start your own list
    Audience
      Founders
      PMs
      Self-taught developers

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

Why would anyone build with this?

REASON 1

Find a curated 'awesome' list for a new technology or field you're exploring, like React or machine learning

REASON 2

Skip noisy search results and jump straight to vetted tools, tutorials, and libraries for a topic

REASON 3

Use the README's contribution guide as a template to create and submit your own curated list

How it stacks up

yyx990803/awesome1tdspg-26/front-aula5-1semacoyfellow/svelte-edge
Stars181818
Language—HTMLTypeScript
Last pushed2016-01-26——
MaintenanceDormant——
Setup difficultyeasyeasymoderate
Complexity1/51/53/5
Audiencegeneralvibe coderdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you spin it up?

Difficulty · easy Time to first run · 5min

Yoink these prompts

Prompt 1
I want to learn Node.js from scratch, point me to the relevant awesome list linked from this repo and summarize what it covers.
Prompt 2
Help me evaluate whether to build with a given technology by pulling the top resources from its awesome list linked here.
Prompt 3
Using this repo's contribution guidelines, help me draft a new 'awesome-design-systems' list of my own.
Prompt 4
Show me which categories in this awesome list are most relevant for someone starting out in machine learning.

Frequently asked questions

wtf is awesome?

A curated directory of directories that links out to hundreds of other 'awesome' GitHub lists, organized by platform, language, and specialized field.

Is awesome actively maintained?

Dormant — no commits in 2+ years (last push 2016-01-26).

How hard is awesome to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is awesome for?

Mainly general.

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