About

Why?

Most educational resources present knowledge as a linear path: chapter 1, chapter 2, chapter 3. But real knowledge isn't linear. It's a web. Number theory connects to cryptography. Topology connects to data analysis. Category theory bridges algebra and logic. Quantum mechanics underpins both particle physics and quantum computing.

Charted makes this web visible. Each topic is a node. Each connection is an edge. You can zoom in to learn about a specific field, or zoom out to see how the sciences fit together.

What's here

The atlas currently covers three domains — mathematics (61 topics across 10 branches), computer science (28 topics across 7 branches), and physics (25 topics across 7 branches). Each topic page includes key ideas, important theorems, historical context, and connections to related fields, with LaTeX-rendered formulas throughout.

Initial content was scaffolded with AI to get full coverage quickly. It's a starting point, not an endpoint — every page needs review, correction, and enrichment by people who actually know the material. The status page shows what's been reviewed and what still needs attention.

How it works

Every topic page is a simple MDX file in a Git repository. Anyone can contribute by opening a pull request. The interactive radial maps on the landing page are generated from topic metadata — titles, ring positions, and cross-topic connections.

The site is built with Astro and React, fully static, and fast. Math is rendered with KaTeX. There's no database, no accounts, no tracking.

Contributing

We welcome contributions of all kinds: reviewing AI-drafted content, improving explanations, adding LaTeX formulas, fixing errors, design improvements, and new features. Domain experts are especially welcome — pick a topic you know and make it better.

See the contributing guide for details on how to get started.

License

The code is licensed under the MIT License. Content is licensed under CC BY-SA 4.0.