rust-ml/linfa

Health v2 · maintenance only

Adoption not part of the score

4736 stars · 335 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Linfa is a Rust machine learning framework offering classical ML algorithms and preprocessing, inspired by Python's scikit-learn. It is organized as sub-crates covering clustering, ensemble methods, linear models, Naive Bayes, and more.

Use cases

• train a random forest in Rust
• cluster data with K-Means or DBSCAN
• fit logistic or elastic net regression models
• run Naive Bayes classification
• preprocess datasets for ML pipelines
• replace scikit-learn with a native Rust alternative

When to choose

• you want classical ML algorithms in pure Rust
• you need memory-safe, fast training without Python dependencies
• you want a scikit-learn-like API in Rust

When to avoid

• you need deep learning or GPU training
• you rely on the breadth of scikit-learn's ecosystem
• you need LLM or transformer tooling

Facets

library · maturity active

machine-learning data-science machine-learning data-science rust scikit-learn classical-ml statistics scientific-computing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="rust-ml/linfa")