adambard/learnxinyminutes-docs

Code documentation written as code! How novel and totally my idea!

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Summary Information

Updated 15 minutes ago
Added to GitGenius on September 4th, 2026
Created on June 26th, 2013
Open Issues & Pull Requests: 240 (+0)
GitHub issues: Enabled
Number of forks: 3,675
Total Stargazers: 12,343 (+0)
Total Subscribers: 266 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 1.9 hours
Mean response time: 78.7 days
90th percentile: 166.0 days
Tracked items: 126

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 20% of issues opened in the past year have been closed. Three people close 87% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 45
New in 7 days: 6
Closed in 7 days: 5
Avg open age: 519 days
Stale 30+ days: 42
Stale 90+ days: 33

Recent activity

Opened in 7 days: 3
Closed in 7 days: 2
Comments in 7 days: 0
Events in 7 days: 4

Top labels

  • request (9)
  • help wanted (2)

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Detailed Description

Learn X in Y Minutes is a collection of programming language tutorials presented as annotated, executable code examples.

The project addresses the need for quick, practical introductions to programming languages by embedding explanations directly within valid code that readers can run and modify. Each tutorial demonstrates language fundamentals through a single, well-commented file that serves as both documentation and working code, allowing learners to see syntax and concepts in action immediately rather than reading separate prose explanations.

The tool suits developers seeking rapid overviews of unfamiliar languages or those teaching others through concrete examples. It works best for people who learn by reading and experimenting with actual code rather than theoretical descriptions. The project explicitly welcomes contributions in any language and actively encourages translations alongside original tutorials, making it suitable for both monolingual and multilingual learning communities.

The project maintains an open contribution model with minimal barriers to entry, accepting everything from typo fixes to entirely new language tutorials. Pull requests are reviewed for quality and merged promptly once they meet standards. The maintainers provide a detailed style guide to ensure consistency across submissions and request that contributors use language-specific tags on issues and pull requests to help organize work by topic. Contributors retain copyright to their work and can request removal at any time, with all published content licensed under Creative Commons Attribution-ShareAlike.