A curated list of computer science courses with video lectures, covering algorithms, AI, databases, operating systems, and more.
Open source. Open possibilities.
Discover quality open-source projects, submit projects anonymously, and claim and edit your own project.
A little curiosity. A world of open source.
THE FIRST COLLECTIONA curated collection of technical resources and learning materials for software developers, covering algorithms, data structures, security, architecture, career advice, and more.
A curated collection of free resources for learning system design concepts and preparing for interviews, covering core concepts, networking, APIs, databases, caching, distributed systems, architectural patterns, tradeoffs, and interview problems.
Papers We Love is a community-driven directory curating notable academic computer science papers for reading and discussion, with links to papers, chapters worldwide, and supplementary reading resources.
OSSU is a free, self-taught Computer Science curriculum built from top online courses, books, and a global Discord community, aiming to provide a complete CS education comparable to an undergraduate degree.
A curated, opinionated collection of full-stack learning resources for software engineers, covering must-read books and articles, engineering principles, and dozens of topics from algorithms and API design to security, SRE, and career growth.
JavaScript implementations of popular algorithms and data structures, each with its own README explanation, complexity notes, and links to further reading. Useful for study and interview prep.
Community-driven interactive roadmaps, guides, best practices, and questions that help developers plan and advance their learning across programming, cloud, AI, DevOps, and more.
labuladong's algorithm notes: an open-source tutorial and problem-solving toolkit centered on LeetCode. With 60+ original Chinese articles, core pattern frameworks, a visualization panel, and multi-platform plugins, it helps learners master data structures and algorithms conceptually rather than just memorizing code.
Curated reading list on building scalable, reliable, high-performance large-scale systems, with design principles, case studies from tech giants, and interview resources.
An interactive visual learning platform designed to make algorithms and data structures easy to understand through step-by-step animations, custom inputs, and playback controls.