pykeio/ort — Fast ML inference & training for ONNX models in Rust

Description and use

pykeio/ort is a high‑performance Rust library that enables fast inference and training of ONNX models by leveraging the ONNX Runtime. It provides a safe, ergonomic API for loading, executing, and fine‑tuning neural networks directly from Rust, making it ideal for low‑latency AI/ML applications. The project is open‑source and aims to bridge the gap between Rust’s safety guarantees and state‑of‑the‑art machine‑learning workloads.

Problem

pykeio/ort helps add AI capability without starting from a blank model stack.

Outcome

Early or unclear: treat as research material until maintenance, releases, docs, and issue activity are verified.

Workflow

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Evidence

Fast ML inference & training for ONNX models in Rust

Source