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react-three-fiber vs ConvNetJS: What are the differences?
Developers describe react-three-fiber as "A React renderer for Three.js (web and react-native)". It is a React renderer for Threejs on the web and react-native. Rendering performance is up to Threejs and the GPU. Components participate in the renderloop outside of React, without any additional overhead. On the other hand, ConvNetJS is detailed as "Deep Learning in your browser". It is a Javascript library for training Deep Learning models (Neural Networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat.
react-three-fiber can be classified as a tool in the "Game Development" category, while ConvNetJS is grouped under "Javascript Utilities & Libraries".
react-three-fiber and ConvNetJS are both open source tools. ConvNetJS with 10K GitHub stars and 2K forks on GitHub appears to be more popular than react-three-fiber with 9.24K GitHub stars and 418 GitHub forks.