📈 Micro-ML: A Toolkit of Forecasting and Clustering Algorithms

The article introduces a compact, WASM-powered JavaScript library—just 56KB in size—that delivers efficient algorithms for regression, smoothing, clustering, and classification. Designed for developers who need lightweight data analysis tools, this library enables tasks like predicting the next value in a series or grouping data points, all without the heavy overhead of TensorFlow.js or similar frameworks.

With its small footprint and WebAssembly foundation, the library offers fast performance and easy integration into web projects. The article highlights practical use cases, demonstrating how developers can leverage these algorithms for real-time analytics and smarter applications.