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Inference & serving

ONNX Runtime

Portable model execution with pluggable hardware execution providers.

Overview

Research summary

ONNX Runtime is a cross-platform runtime for executing models exported from supported machine-learning frameworks. Applications can use its language bindings to run inference on different operating systems and hardware, selecting execution providers that connect the runtime to available accelerators. Graph optimization and model transformation help adapt execution to the deployment target. The wider project also contains training acceleration capabilities, but this entry classifies it primarily as inference infrastructure. Runtime compatibility depends on model operators, provider support, and the selected package or build.

Repository summary

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Open issues
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Last push
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Commits, 90 days
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Repository activity
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Version
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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

Implementation

Recorded implementation details and interfaces for ONNX Runtime.

Implementation details

Native model runtime with language-specific bindings

Languages
C++
Repository type
source

Recorded interfaces and capabilities

Licence scope

Repository

Repository snapshots, release information and recorded maintenance signals.

Repository snapshot

microsoft/onnxruntime ↗

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 4

Research metadata

Research date
2026-10-02
Catalogue snapshot
2026-10-06

Community & social 2 channels

Video

Communities