View onnxruntime on Snyk Open Source Advisor

Package Health Score

91 / 100

security
No known security issues
popularity
Key ecosystem project
maintenance
Sustainable
community
Active

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Popularity

Key ecosystem project

GitHub Stars: 14.72K
Forks: 2.93K
Contributors: 390

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package onnxruntime, we found that it has been starred 14,719 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Nov 21, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

Yes

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Maintenance

Sustainable

Commit Frequency

Open Issues: 2.35K
Open PR: 510
Last Release: 19 hours ago
Last Commit: 3 days ago

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

We found that onnxruntime 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 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: 6 years
Latest Release: 19 hours ago
Dependencies: 5 Direct
Versions: 44
Maintainers: 1
Wheels: Linux, macOS, Windows

Not sure how to use onnxruntime?

To help you get started, we've collected the most common ways that onnxruntime is being used within popular public projects.

onnx / sklearn-onnx / tests / test_sklearn_one_hot_encoder_converter.py View on Github

    @unittest.skipIf(StrictVersion(ort_version) &lt;= StrictVersion("0.4.0"),
                     reason="issues with shapes")
    @unittest.skipIf(
        not one_hot_encoder_supports_string(),
        reason="OneHotEncoder did not have categories_ before 0.20",
    )
    def test_model_one_hot_encoder(self):
        model = OneHotEncoder(categories='auto')
        data = numpy.array([[1, 2, 3], [4, 3, 0], [0, 1, 4], [0, 5, 6]],
                           dtype=numpy.int64)
        model.fit(data)
        model_onnx = convert_sklearn(
            model,
            "scikit-learn one-hot encoder",
            [("input", Int64TensorType([None, 3]))],
        )
        self.assertTrue(model_onnx is not None)

View more ways to use onnxruntime

onnxruntime dependencies

coloredlogs flatbuffers packaging protobuf sympy

FAQs

What is onnxruntime?

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

Is onnxruntime popular?

The python package onnxruntime receives a total of 2,296,478 weekly downloads. As such, onnxruntime popularity was classified as a key ecosystem project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is onnxruntime well maintained?

We found indications that onnxruntime maintenance is sustainable demonstrating some project activity. We saw a total 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 safe to use?

The python package onnxruntime 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 21 November-2024, at 04:30 (UTC).

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Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

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Not sure how to use onnxruntime?

ONNX Runtime

Changes

1.20.1

1.20.0

1.19.0

1.18.0

1.17.0

1.16.0

1.15.0

1.14.0

1.13.0

1.12.0

1.11.0

1.10.0

1.9.0

1.8.2

1.8.1

1.8.0

1.7.0

1.6.0

1.5.3

1.5.2

1.5.1

1.4.0

1.3.1

1.3.0

1.2.0

1.1.0

1.0.0

0.5.0

0.4.0