Github · GitHub Repository Radar
LeCoupa awesome-cheatsheets
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
Stars
46,425
Forks
6,692
Watchers: 46,425
Language
License: MIT License
Repository Radar Score
50 / 100
Growth
- 7d
- +0
- 30d
- +0
- %
- 0.0%
Not enough metric snapshots yet to chart growth for this repository.
Score breakdown
- popularity 86
- growth 0
- activity 35
- freshness 100
- community 70
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📚 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
I usually make a cheat sheet when I want to improve my skills in a programming language, a framework or a development tool. I started doing these kinds of things a long time ago on Gist. To better keep track of the history and to let people contribute, I re-organized all of them into this single repository. Most of the content is coming from official documentation and some books I have read.
Feel free to take a look. You might learn new things. They have been designed to provide a quick way to assess your knowledge and to save you time.
View cheatsheets
View cheatsheets
View cheatsheets
View cheatsheets
You are more than welcome to contribute and build your own cheat sheet for your favorite programming language, framework or development tool. Just submit changes via pull request and I will review them before merging.
Repository Radar analysis
Deterministic insights derived from public metadata and our observations — not personal testing or reviews.
Why this repository is interesting
- High absolute popularity (46,425 stars) signals broad adoption.
Who should use it
- Developers working primarily with JavaScript
- Teams exploring AI tooling, agents, or ML infrastructure
- Platform and DevOps engineers
- Frontend engineers comparing UI frameworks and tools
- Backend engineers shipping APIs and product backends
Potential use cases
- Reference or evaluate JavaScript open-source approaches in this domain
- Prototype AI/agent workflows or study reference architectures
- Evaluate automation, CI/CD, or infrastructure patterns
Strengths
- README present in our index
- Declared license: MIT License
- Substantial fork count (6,692) suggests reuse and contribution interest
Limitations / considerations
- Insights are derived from public metadata and our observations — not a substitute for code review
What to watch
- Re-check last push, issues, and releases on GitHub before production adoption
Strong signals: Strong community interest
Source: GitHub (public metadata) + Repository Radar analysis. We do not claim ownership of third-party repositories.
