JavaScript machine learning libraries

Machine learning in JavaScript mostly means running models in the browser or Node.js. TensorFlow.js trains and runs models with WebGL and WebGPU acceleration, Brain.js offers simple neural networks, and ONNX-based runtimes load models trained elsewhere. Karpathy's ConvNetJS is a well-known teaching implementation that is no longer developed.

For text, natural and compromise handle tokenizing, stemming and tagging without a server. The section also lists the charting libraries data work depends on, including D3, Chart.js, nivo, Highcharts and Sigma.js for graphs, and small demos such as NSFWJS that show what in-browser inference can do.