JAX in pure JavaScript, as a flexible machine learning library and compiler.
ml5 - A friendly machine learning library for the web.
ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.
jose - npmx
JWA, JWS, JWE, JWT, JWK, JWKS for Node.js, Browser, Cloudflare Workers, Deno, Bun, and other Web-interoperable runtimes
Web Engines Hackfest 2025
Running inference in web extensions | The Mozilla Blog
Image generated by DALL*E We’re shipping a new API in Firefox Nightly that will let you use our Firefox AI runtime to run offline machine learning tasks
Everything you need to know about: Svelte
Everything you need to know about the world’s most loved JS framework
KaTeX – The fastest math typesetting library for the web
Simple API, no dependencies – yet super fast on all major browsers.
The Complete Svelte 5 Course
Beginner to advanced course for the most beloved JavaScript framework.
Writing a Web-based Editor from Scratch
At some point a while back I decided that I was going to write the front end of Weaver in Rust. I'd looked through the various 'fullstack' web application frameworks kicking around, and while they still had a ways to go, they seemed complete enough. Plus I wanted to write a semi-custom Markdown parser and renderer, to support features I wanted to exist in Weaver, like atproto record embeds, dual-column mode, and resizable images, and since I also wanted it to be fast, that meant that at least a portion of the front-end codebase would be in Rust, and Javascript-Rust FFI wasn't something I had dealt with a lot yet.
Put State in the Right Place - Delaney Gillilan | SSW 2026
