Is mlx-cuda safe to use?

mlx-cuda has no known vulnerabilities on the latest version (0.30.0). DepScope rates its health at 51/100 (high risk).

What is the latest version of mlx-cuda?

The latest version of mlx-cuda is 0.30.0, released 2025-11-20.

Does mlx-cuda have known vulnerabilities?

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

Is mlx-cuda deprecated?

No, mlx-cuda is actively maintained. Latest release: 0.30.0 (2025-11-20).

What are alternatives to mlx-cuda?

Popular alternatives to mlx-cuda in PyPI include: boto3, packaging, urllib3, idna, requests.

What license does mlx-cuda use?

mlx-cuda is licensed under MIT.

mlx-cuda

pypiv0.30.0

A framework for machine learning on Apple silicon.

License MITpermissive8 versions1 maintainers4 deps857 weekly dl

ml-explore/mlx

/ 100

Health

use with caution

[email protected] low health (51/100) — consider alternatives

Moderate health score (51/100) — verify manually

Health breakdown0 – 100

15/25

maintenance

3/20

popularity

25/25

security

6/15

maturity

2/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (4)

nvidia-cublas-cu12 nvidia-cuda-nvrtc-cu12 nvidia-cudnn-cu12 nvidia-nccl-cu12

API access

Get this data programmatically — free, no authentication.

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