smartcore
A fast, ergonomic machine learning library for Rust with broad algorithm coverage and WASM-first defaults.
What is smartcore?
smartcore is a comprehensive machine learning library for Rust that provides production-friendly APIs, strong typing, and good defaults while remaining flexible for research and experimentation. It covers classical supervised and unsupervised methods with a modular linear algebra abstraction and optional ndarray support.
Rust developers building machine learning applications for production, especially those targeting WebAssembly or embedded deployments, as well as researchers needing a flexible, idiomatic Rust ML library.
Developers choose smartcore for its WASM-first design tuned for portability, ergonomic API with consistent traits, and broad algorithm coverage including linear models, tree-based methods, ensembles, SVMs, and clustering, all while maintaining strong typing and modular linear algebra.
Overview
A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.
Use Cases
Best For
- Building machine learning applications in Rust that need to run in WebAssembly or embedded environments.
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