Open source intelligence for builders
GitHub Star
Discover the most popular open source projects We combine GitHub API snapshots, growth windows, project metadata, and editorial notes so developers can compare open source projects before adding them to a production stack.
- Tracked repos
- 253
- Languages
- 21
- Combined stars
- 20,423,784
- Last data refresh
- 4/2/2026
How rankings work
Total, daily, 3-day, and weekly views are sorted from stored GitHub star snapshots. Growth windows help distinguish established projects from fast-rising tools.
What we add
Repository pages include concise summaries, target audience notes, use cases, comparable tools, and trade-offs when those fields are available.
Editorial standard
Data comes from the GitHub API. AI-assisted summaries are reviewed for usefulness, and corrections can be requested by email from the About page.
Editorial guides for open source decisions
These original guides explain how we evaluate repositories, compare developer tools, and separate short-term GitHub attention from practical adoption signals.
Prefer a curated starting point? Visit the Guides center for grouped reading paths and topical directories.
DEEP DIVE
Open Source Repository Evaluation Checklist for Production Teams
A practical checklist for deciding whether a GitHub repository is ready for real product work.
TOPIC
How to Read GitHub Star Growth Without Being Misled
Star growth is useful, but only when it is interpreted with context, time windows, and project maturity.
NEWS
AI Coding Repositories Worth Watching in 2026
A practical guide to evaluating AI coding repositories without confusing demos for durable developer workflow.
TUTORIAL
How to Evaluate Claude Skill Repositories Before Installing Them
A safety and usefulness checklist for Claude Skill repositories, prompts, and workflow extensions.
How GitHub Star evaluates usefulness
A repository page should help readers decide what to inspect next. We look for maintainability, adoption fit, comparable options, and evidence that a tool can be operated safely in a real project.
Maintenance rhythm
Recent releases, issue activity, and documentation freshness matter more than a single popularity number.
Adoption fit
A repository is useful only when its license, runtime, team skills, and operational model fit the project using it.
Evidence over hype
We separate GitHub momentum from production readiness and call out trade-offs when a tool is early or specialized.
Comparable options
Selection pages point readers toward alternatives so they can make a decision instead of following a ranking blindly.
Curated research paths
AI coding workflow
Repositories and guides for teams evaluating coding agents, prompt tooling, local model runners, and review automation.
Web application stack
Framework, database, testing, and deployment tools that matter when a side project becomes a maintained product.
Repository due diligence
A practical checklist for reading stars, commits, issues, documentation, release cadence, and dependency risk together.
Popular comparisons
Use these pages when you are comparing similar tools and need decision criteria, not just another popularity chart.
Coding Agents vs Editor Assistants: What Teams Should Compare
A practical comparison between agent-style coding tools and lighter editor assistants for real engineering workflows.
Open Source Stack Selection vs Single Tool Hype
A comparison framework for teams choosing a maintainable stack rather than chasing one viral repository.
Repository Momentum vs Production Readiness
A comparison page for teams that need to balance star growth with maintainability and trust signals.
Master programming by recreating your favorite technologies from scratch.
😎 Awesome lists about all kinds of interesting topics
freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
A collective list of free APIs
:books: Freely available programming books
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A complete computer science study plan to become a software engineer.
An opinionated list of Python frameworks, libraries, tools, and resources
A list of Free Software network services and web applications which can be hosted on your own servers
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
Curated list of project-based tutorials
The library for web and native user interfaces.
Linux kernel source tree
All Algorithms implemented in Python
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core
🎓 Path to a free self-taught education in Computer Science!
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings