Millwright: Rust’s Full Machine-Learning Pipeline

Why it surfaced

This is unusually specific infrastructure: nine named pipeline stages, four object-safe traits, multiple Rust ML backends, and a stated attempt to reconcile incompatible ndarray versions. Its slogan—“fit. predict. serve. watch.”—is concise, and the architecture is documented rather than hand-waved.

Millwright presents a Rust framework for taking machine-learning data from ingestion and exploration through training, ONNX export, serving, and drift monitoring.