ClusterKit brings state-of-the-art dimensionality reduction and clustering algorithms to Ruby through native Rust bindings. Run UMAP, PCA, K-means, and HDBSCAN directly in your Ruby process with performance matching Python’s scikit-learn - no Python required.

What makes it special:

• Native Rust performance via Magnus FFI (2-3x faster with parallel processing)
• Reproducible results with seed support
• Handles extreme data ranges without crashing (fixed the notorious box_size panic)
• Works seamlessly with Ruby arrays and Numo::NArray

Perfect for data visualization, density-based clustering, anomaly detection, and exploratory data analysis - all without leaving Ruby or shelling out to Python.

• GitHub: https://github.com/cpetersen/clusterkit
• RubyGems: https://rubygems.org/gems/clusterkit