onnxruntime-openvino

v1.19.0

ONNX Runtime is a runtime accelerator for Machine Learning models For more information about how to use this package see README

Latest version published 2 months ago

License: MIT

PyPI

GitHub

Package Health Score

87 / 100

security
No known security issues
popularity
Recognized
maintenance
Healthy
community
Active

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openvino
94

Popularity

Recognized

GitHub Stars: 14.68K
Forks: 2.93K
Contributors: 390

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package onnxruntime-openvino, we found that it has been starred 14,677 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Sep 20, 2024
Direct Vulnerabilities: 0
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Indirect Vulnerabilities: 0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

Yes

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Maintenance

Healthy

Commit Frequency

Open Issues: 2.35K
Open PR: 515
Last Release: 2 months ago
Last Commit: 12 days ago

Further analysis of the maintenance status of onnxruntime-openvino based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that onnxruntime-openvino demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 390
Funding: No

A good and healthy external contribution signal for onnxruntime-openvino project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: ==3.10.*, ==3.11.*, ==3.12.*, ==3.7.*, ==3.8.*, ==3.9.*

Age: 3 years
Latest Release: 2 months ago
Dependencies: 5 Direct
Versions: 9
Maintainers: 1
Wheels: Linux, Windows

Readme

OpenVINO™ Execution Provider for ONNX Runtime

OpenVINO™ Execution Provider for ONNX Runtime is a product designed for ONNX Runtime developers who want to get started with OpenVINO™ in their inferencing applications. This product delivers OpenVINO™ inline optimizations which enhance inferencing performance with minimal code modifications.

OpenVINO™ Execution Provider for ONNX Runtime accelerates inference across many AI models on a variety of Intel® hardware such as:

Intel® CPUs
Intel® integrated GPUs
Intel® discrete GPUs
Intel® integrated NPUs (Windows only)

Installation

Requirements

Ubuntu 18.04, 20.04, RHEL(CPU only) or Windows 10 - 64 bit
Python 3.9 or 3.10 or 3.11 for Linux and Python 3.10, 3.11 for Windows

This package supports:

Intel® CPUs
Intel® integrated GPUs
Intel® discrete GPUs
Intel® integrated NPUs (Windows only)

pip3 install onnxruntime-openvino

Please install OpenVINO™ PyPi Package separately for Windows. For installation instructions on Windows please refer to OpenVINO™ Execution Provider for ONNX Runtime for Windows.

OpenVINO™ Execution Provider for ONNX Runtime Linux Wheels comes with pre-built libraries of OpenVINO™ version 2024.1.0 eliminating the need to install OpenVINO™ separately.

For more details on build and installation please refer to Build.

Usage

By default, Intel® CPU is used to run inference. However, you can change the default option to either Intel® integrated GPU, discrete GPU, integrated NPU (Windows only). Invoke the provider config device type argument to change the hardware on which inferencing is done.

For more API calls and environment variables, see Usage.

Samples

To see what you can do with OpenVINO™ Execution Provider for ONNX Runtime, explore the demos located in the Examples.

License

OpenVINO™ Execution Provider for ONNX Runtime is licensed under MIT. By contributing to the project, you agree to the license and copyright terms therein and release your contribution under these terms.

Support

Please submit your questions, feature requests and bug reports via GitHub Issues.

How to Contribute

We welcome community contributions to OpenVINO™ Execution Provider for ONNX Runtime. If you have an idea for improvement:

Share your proposal via GitHub Issues.
Submit a Pull Request.

onnxruntime-openvino dependencies

coloredlogs flatbuffers packaging protobuf sympy

FAQs

What is onnxruntime-openvino?

ONNX Runtime is a runtime accelerator for Machine Learning models. Visit Snyk Advisor to see a full health score report for onnxruntime-openvino, including popularity, security, maintenance & community analysis.

Is onnxruntime-openvino popular?

The python package onnxruntime-openvino receives a total of 4,752 weekly downloads. As such, onnxruntime-openvino popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is onnxruntime-openvino well maintained?

We found that onnxruntime-openvino demonstrated a healthy version release cadence and project activity. It has a community of 390 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is onnxruntime-openvino safe to use?

The python package onnxruntime-openvino was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 25 November-2024, at 03:29 (UTC).

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Readme

OpenVINO™ Execution Provider for ONNX Runtime

Installation

Requirements

Usage

Samples

License

Support

How to Contribute

onnxruntime-openvino dependencies

FAQs

What is onnxruntime-openvino?

Is onnxruntime-openvino popular?

Is onnxruntime-openvino well maintained?

Is onnxruntime-openvino safe to use?

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Scan your app for vulnerabilities

Source Code

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Config

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