Starred repositories
Master programming by recreating your favorite technologies from scratch.
freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
😎 Awesome lists about all kinds of interesting topics
📚 Freely available programming books
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
A complete computer science study plan to become a software engineer.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A list of Free Software network services and web applications which can be hosted on your own servers
Curated list of project-based tutorials
The library for web and native user interfaces.
All Algorithms implemented in Python
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
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
An Open Source Machine Learning Framework for Everyone
A book series (2 published editions) on the JS language.
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Flutter makes it easy and fast to build beautiful apps for mobile and beyond
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
Master the command line, in one page
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.