ml and machinelearnjs
These are competitors offering overlapping core ML functionality (classification, regression, clustering) for JavaScript environments, though ml.js has significantly stronger adoption and maintenance activity.
About ml
mljs/ml
Machine learning tools in JavaScript
This is a collection of essential algorithms for data analysis and modeling, designed for use directly within web browsers. It takes your raw data – like numbers in spreadsheets or measurements from experiments – and processes it to find patterns, make predictions, or simplify complex information. This is for anyone building interactive web applications that need to analyze data on the fly, such as data scientists creating dashboards or researchers developing online experimental tools.
About machinelearnjs
machinelearnjs/machinelearnjs
Machine Learning library for the web and Node.
This library helps JavaScript developers build machine learning models directly within web browsers or Node.js environments. You feed it your datasets, and it trains various machine learning algorithms, outputting trained models that can make predictions or classify data. It's designed for developers looking to integrate ML capabilities into their JavaScript applications.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work