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wtf is awesome?

100/awesome — explained in plain English

Analysis updated 2026-07-18 · repo last pushed 2016-02-08

Audience · generalComplexity · 1/5DormantSetup · easy

TL;DR

A master index of curated 'awesome' lists across nearly every tech topic, a starting point for finding quality tools and resources instead of searching randomly.

Mindmap

mindmap
  root((repo))
    What it does
      Indexes awesome lists
      Organizes by category
      Curated not auto-generated
    Tech stack
      Markdown
      GitHub
    Use cases
      Discover tools by topic
      Start learning a language
      Find best practices lists
    Audience
      Developers
      PMs founders
      Beginners

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 list of the best resources for a new programming language or framework.

REASON 2

Explore the DevOps, Docker, or Kubernetes sections when starting an infrastructure project.

REASON 3

Browse the Machine Learning or Big Data sections for well-maintained tools and libraries.

REASON 4

Learn how to create and contribute to your own 'awesome' list.

What's in the stack?

Markdown

How it stacks up

100/awesome0verflowme/alarm-clock0verflowme/seclists
Language—CSS—
Last pushed2016-02-082022-10-032020-05-03
MaintenanceDormantDormantDormant
Setup difficultyeasyeasyeasy
Complexity1/52/51/5
Audiencegeneralvibe coderops devops

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
Point me to the best curated list of resources for learning Python from this awesome list.
Prompt 2
Help me find an awesome list related to Kubernetes and summarize its top recommended tools.
Prompt 3
Show me how to create my own 'awesome' list following the format used in this repository.
Prompt 4
Suggest which category in this awesome list I should explore first for machine learning resources.

Frequently asked questions

wtf is awesome?

A master index of curated 'awesome' lists across nearly every tech topic, a starting point for finding quality tools and resources instead of searching randomly.

Is awesome actively maintained?

Dormant — no commits in 2+ years (last push 2016-02-08).

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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