ml5.js vs Propel: What are the differences?

Developers describe ml5.js as "Friendly machine learning 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. On the other hand, Propel is detailed as "Machine learning for JavaScript". Propel provides a GPU-backed numpy-like infrastructure for scientific computing in JavaScript.

ml5.js and Propel can be primarily classified as "Machine Learning" tools.

ml5.js and Propel are both open source tools. It seems that Propel with 2.81K GitHub stars and 81 forks on GitHub has more adoption than ml5.js with 2.72K GitHub stars and 213 GitHub forks.