ONNX
ml_framework
Overview
Developed byMicrosoft
Maintained byLinux Foundation AI
Founded2017
LicenseApache License 2.0
Open source✓ Open Source
Use caseMachine learning model interchange format
Integrates with
Also see
Based onProtocol Buffers
Knowledge graph stats
Claims28
Avg confidence94%
Avg freshness100%
Last updatedUpdated yesterday
WikidataQ55080116
Trust distribution
100% unverified
Governance
Not assessed
ONNX
concept
Open Neural Network Exchange format for interoperability between ML frameworks
Compare with...pricing model
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Free | ○Unverified | High | Fresh | 1 |
license type
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Apache License 2.0 | ○Unverified | High | Fresh | 1 |
| Apache 2.0 | ○Unverified | High | Fresh | 1 |
primary use case
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Machine learning model interchange format | ○Unverified | High | Fresh | 1 |
| machine learning model interoperability | ○Unverified | High | Fresh | 1 |
| open format for ML model interoperability between frameworks | ○Unverified | High | Fresh | 1 |
| neural network model exchange format | ○Unverified | High | Fresh | 1 |
integrates with
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| ONNX Runtime | ○Unverified | High | Fresh | 1 |
| TensorFlow | ○Unverified | High | Fresh | 1 |
| PyTorch | ○Unverified | High | Fresh | 1 |
| scikit-learn | ○Unverified | High | Fresh | 1 |
| Caffe2 | ○Unverified | High | Fresh | 1 |
open source
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| true | ○Unverified | High | Fresh | 1 |
maintained by
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Linux Foundation AI | ○Unverified | High | Fresh | 1 |
| Linux Foundation | ○Unverified | High | Fresh | 1 |
| ONNX Community | ○Unverified | High | Fresh | 1 |
supports model
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| neural networks | ○Unverified | High | Fresh | 1 |
| traditional machine learning models | ○Unverified | Moderate | Fresh | 1 |
developed by
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Microsoft | ○Unverified | High | Fresh | 1 |
| ○Unverified | High | Fresh | 1 |
founded year
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| 2017 | ○Unverified | High | Fresh | 1 |
alternative to
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| proprietary model formats | ○Unverified | Moderate | Fresh | 1 |
| TensorFlow Lite | ○Unverified | Moderate | Fresh | 1 |
| TensorFlow SavedModel | ○Unverified | Moderate | Fresh | 1 |
based on
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Protocol Buffers | ○Unverified | Moderate | Fresh | 1 |
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