What is awesome-cheatsheet?

detailyang/awesome-cheatsheet — explained in plain English

Analysis updated 2026-06-24

★ 8,346PythonAudience · developerComplexity · 1/5Setup · easy

Mindmap

mindmap
  root((repo))
    What it does
      Links to cheatsheets
      No code to run
    Topics Covered
      Programming languages
      Editors and tools
      Databases
      Security
    Audience
      Developers
      Beginners
    Contributing
      Fix dead links
      Add new cheatsheets

mindmap root((repo)) What it does Links to cheatsheets No code to run Topics Covered Programming languages Editors and tools Databases Security Audience Developers Beginners Contributing Fix dead links Add new cheatsheets

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What do people build with it?

USE CASE 1

Look up a quick-reference cheatsheet for a programming language you are learning for the first time.

USE CASE 2

Find a command summary for a tool like Vim, Docker, or Git when you forget specific syntax.

USE CASE 3

Bookmark this list as a single starting point instead of searching the web each time you need a reference.

What is it built with?

Python

How does it compare?

	detailyang/awesome-cheatsheet	nebuly-ai/optimate	apple/ml-sharp
Stars	8,346	8,347	8,341
Language	Python	Python	Python
Setup difficulty	easy	hard	hard
Complexity	1/5	4/5	4/5
Audience	developer	data	researcher

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

How do you get it running?

Difficulty · easy Time to first run · 5min

So what is it?

This repository is a curated list of links to cheatsheets covering a wide range of programming languages, tools, platforms, and software topics. A cheatsheet in this context is a short reference document, typically one or two pages, that summarizes the most commonly used commands, syntax, or patterns for something so you do not have to look them up from scratch every time. The collection spans dozens of programming languages including Python, JavaScript, Go, Rust, Ruby, Java, C, and many others. Beyond languages, it covers front-end and back-end development tools, databases, editors like Vim and Emacs, big-data tools, security topics, project management, and miscellaneous utilities. Each entry is a link pointing to an external cheatsheet, which might be a PDF, a GitHub repository, a website, or a Google Doc. The README is the entire product: it is one long organized list grouped into categories like Platforms, Programming Languages, Software Testing, Editors, Tools, and Databases. There is no code to install or run. The repository exists purely as a directory of links collected and maintained by contributors over time. Because the links point to third-party sources, some may be outdated or broken. The project welcomes pull requests to fix dead links or add better alternatives. It follows the format of other open-source "awesome" lists, which are community-maintained directories of resources on a given topic.

Copy-paste prompts

Prompt 1

I'm learning Python and want a one-page cheatsheet covering syntax, built-in functions, and common patterns. Based on the awesome-cheatsheet project style, give me a concise reference table.

Prompt 2

Using the format from the awesome-cheatsheet project, create a cheatsheet for Docker CLI commands covering containers, images, volumes, and networking in a single reference page.

Prompt 3

I found the awesome-cheatsheet repo. Walk me through how to contribute a new cheatsheet link: what format to follow, how to choose the right category, and how to open a pull request.

Prompt 4

Generate a Vim cheatsheet in the style used by the awesome-cheatsheet project, covering normal mode, insert mode, search and replace, and window management.

Frequently asked questions