mljs/ml

Health v2 · maintenance only

Adoption not part of the score

2715 stars · 209 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

ml.js is an umbrella library bundling the mljs organization's machine learning tools for JavaScript, including clustering, classification, regression, neural networks, and optimization algorithms. It is primarily maintained for browser use via a UMD build exposing a global ML variable, while Node.js users are directed to the individual ml-* npm packages.

Use cases

• run machine learning in the browser with javascript
• cluster data with k-means or hierarchical clustering in js
• train a decision tree or random forest classifier in javascript
• fit linear or polynomial regression models in the browser
• do PCA dimensionality reduction in javascript
• build a simple feedforward neural network in js
• evaluate classifiers with a confusion matrix and cross-validation

When to choose

• you need classic ML algorithms (PCA, KMeans, KNN, random forests, regression) running client-side in a browser
• you want a single script tag with a global ML object and no build tooling
• you prefer lightweight modular ml-* npm packages for Node.js projects

When to avoid

• you need deep learning with GPU acceleration or large-scale training
• you work primarily in Python with scikit-learn or PyTorch ecosystems
• you need the latest algorithms or frequent updates, since sub-packages on npm are maintained more actively

Facets

library · maturity active

machine-learning data-science math machine-learning data-science web-development browser javascript browser-ml clustering regression neural-networks pca decision-trees random-forest naive-bayes knn k-means umd nodejs

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markdown · JSON · MCP: product_card(name="mljs/ml")