Overview
Research summary
ort is a Rust interface for deploying machine-learning models in ONNX format. It primarily wraps Microsoft ONNX Runtime, giving applications access to model sessions, tensor inputs and outputs, and hardware execution providers. The project also documents alternative pure-Rust runtime backends. Developers can use it for local application inference, edge deployments, or server workloads after exporting a compatible model from another framework. Examples cover several model types, and training support is part of the interface. Its wrapper code is independently maintained from the underlying ONNX Runtime project.
Repository summary
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services unknown
Whether the provider offers paid products or services has not been established.
Licence scope
Cargo.toml declares alternative licenses. Linked runtimes, execution providers, and deployed model weights retain their own licenses.
Implementation
Recorded implementation details and interfaces for ort.
Implementation details
Rust library wrapping ONNX Runtime, with optional alternative execution backends
- Languages
- Rust
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Cargo.toml declares alternative licenses. Linked runtimes, execution providers, and deployed model weights retain their own licenses.
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
Documentation
Recorded references and research provenance for this entry.
Recorded sources 8
- https://ort.pyke.io/ Project page
- https://github.com/pykeio/ort Linked repository · Research reference
- https://crates.io/crates/ort Research reference
- https://github.com/pykeio/ort/blob/main/README.md Research reference
- https://github.com/pykeio/ort/blob/main/LICENSE-APACHE Research reference
- https://github.com/pykeio/ort/blob/main/LICENSE-MIT Research reference
- https://github.com/pykeio/ort/blob/main/Cargo.toml Research reference
- https://github.com/pykeio/ort/discussions Research reference
Research metadata
- Research date
- 2026-10-02
- Catalogue snapshot
- 2026-10-06
Community & social 1 channels
Communities
- GitHub Discussionsgithub.com/pykeio/ort/discussionsOfficialSupportDiscussionAnnouncements
Link details for GitHub Discussions
- Access
- Public
- Last checked