Is mlx-cuda-13 safe to use?

mlx-cuda-13 has no known vulnerabilities on the latest version (0.32.0). DepScope rates its health at 72/100 (moderate risk).

What is the latest version of mlx-cuda-13?

The latest version of mlx-cuda-13 is 0.32.0, released 2026-07-07.

Does mlx-cuda-13 have known vulnerabilities?

No known vulnerabilities on the latest version of mlx-cuda-13.

Is mlx-cuda-13 deprecated?

No, mlx-cuda-13 is actively maintained. Latest release: 0.32.0 (2026-07-07).

What are alternatives to mlx-cuda-13?

Popular alternatives to mlx-cuda-13 in PyPI include: boto3, charset-normalizer, charset_normalizer, setuptools, pyyaml.

What license does mlx-cuda-13 use?

mlx-cuda-13 is licensed under MIT.

mlx-cuda-13

pypiv0.32.0

A framework for machine learning on Apple silicon.

License MITpermissive7 versions1 maintainers5 deps2,972 weekly dl

ml-explore/mlx

/ 100

Health

safe to use

[email protected] is safe to use (health: 72/100)

Health breakdown0 – 100

25/25

maintenance

6/20

popularity

25/25

security

6/15

maturity

10/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (5)

nvidia-cudnn-cu13 nvidia-nccl-cu13 nvidia-cublas nvidia-cufft nvidia-cuda-nvrtc

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/mlx-cuda-13

mlx-cuda-13

pypiv0.32.0

A framework for machine learning on Apple silicon.

License MITpermissive7 versions1 maintainers5 deps2,972 weekly dl

ml-explore/mlx

/ 100

Health

safe to use

[email protected] is safe to use (health: 72/100)

Health breakdown0 – 100

25/25

maintenance

6/20

popularity

25/25

security

6/15

maturity

10/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (5)

nvidia-cudnn-cu13 nvidia-nccl-cu13 nvidia-cublas nvidia-cufft nvidia-cuda-nvrtc

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/mlx-cuda-13