About ml5.js

Friendly machine learning for the web!

Welcome to the ml5 project! Developing ml5 is not just about developing machine learning software, it is about making 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.

The library is supported by code examples, tutorials, and sample datasets with an emphasis on ethical computing. Bias in data, stereotypical harms, and responsible crowdsourcing are part of the documentation around data collection and usage. We're building friendly machine learning for the web - we're glad you're here!

ml5.js is heavily inspired by Processing and p5.js.

Learn more about the history and origins of the ml5.js project published on Medium.com/@ml5js.


ml5.js is supported by the time and dedication of open source developers from all over the world. We are artists, designers, technologists, researchers, educators, students, scientists, developers, parents, children, and everything in-between.

Funding and support is generously provided by a Google Education grant at NYU's ITP/IMA program. Many thanks to BrowserStack for providing testing support.

Website designed with ❤ by Milan Gary, Nicole Lloyd, and Arnab Chakravarty.

Developed using React/Gatsby.js and Netlify by Wenqi Li, Joey Lee, and Dan Shiffman.

Shout out to the OpenMoji Project for glyphs.