Is onnx-weekly safe to use?

onnx-weekly has no known vulnerabilities on the latest version (1.22.0.dev20260430). DepScope rates its health at 80/100 (low risk).

What is the latest version of onnx-weekly?

The latest version of onnx-weekly is 1.22.0.dev20260430, released 2026-04-30.

Does onnx-weekly have known vulnerabilities?

No known vulnerabilities on the latest version of onnx-weekly.

Is onnx-weekly deprecated?

No, onnx-weekly is actively maintained. Latest release: 1.22.0.dev20260430 (2026-04-30).

What are alternatives to onnx-weekly?

Popular alternatives to onnx-weekly in PyPI include: boto3, packaging, idna, certifi, urllib3.

What license does onnx-weekly use?

onnx-weekly is licensed under Apache-2.0.

onnx-weekly

pypiv1.22.0.dev20260430

Open Neural Network Exchange

License Apache-2.0permissive28 versions7 deps59,356 weekly dl

onnx/onnx

/ 100

Health

safe to use

[email protected] is safe to use (health: 80/100)

Health breakdown0 – 100

25/25

maintenance

10/20

popularity

25/25

security

12/15

maturity

8/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (7)

numpy protobuf typing_extensions ml_dtypes ml_dtypes Pillow;ruamel.yaml;

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/onnx-weekly

onnx-weekly

pypiv1.22.0.dev20260430

Open Neural Network Exchange

License Apache-2.0permissive28 versions7 deps59,356 weekly dl

onnx/onnx

/ 100

Health

safe to use

[email protected] is safe to use (health: 80/100)

Health breakdown0 – 100

25/25

maintenance

10/20

popularity

25/25

security

12/15

maturity

8/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (7)

numpy protobuf typing_extensions ml_dtypes ml_dtypes Pillow;ruamel.yaml;

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/onnx-weekly