GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
ort accelerates ML inference and training tasks for ONNX models with high-performance Rust operations
Good fit when
- When your project involves ONNX models that require fast inference times or efficient fine-tuning
- If you prefer a tool built in Rust for better performance and memory safety compared to tools using other languages
Avoid when
- When the primary development language is not compatible with Rust bindings
- For projects requiring broad model support beyond ONNX, as ort specializes only in ONNX models and does not cover a wide array of formats like some competitors might
Observed Jul 15, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (3d since push)
- As of Sep 19, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 19, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
cargo add ortSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
pykeio/ort offers high-performance operations for ONNX model inference and training written in Rust.
Capability facts
- Languages
- rust
Source: github.language · Sep 19, 2026
Categories
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README
<div align=center <img src="https://ort.pyke.io/assets/trend banner.png" width="350px" </div <div align=center <a href="https://app.codecov.io/gh/pykeio/ort" target=" blank" <img alt="Coverage Results" src="https://img.shields.io/codecov/c/gh/pykeio/ort?style=for the badge" </a <...
For agents
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