Is mlx-cpu safe to use?

mlx-cpu has no known vulnerabilities on the latest version (0.32.2). DepScope rates its health at 75/100 (moderate risk).

What is the latest version of mlx-cpu?

The latest version of mlx-cpu is 0.32.2, released 2026-08-25.

Does mlx-cpu have known vulnerabilities?

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

Is mlx-cpu deprecated?

No, mlx-cpu is actively maintained. Latest release: 0.32.2 (2026-08-25).

What are alternatives to mlx-cpu?

Popular alternatives to mlx-cpu in PyPI include: pyyaml, pycparser, pydantic-core, pydantic_core, protobuf.

mlx-cpu

pypiv0.32.2

A framework for machine learning on Apple silicon.

License MITpermissive20 versions1 maintainers0 deps7,703 weekly dl

ml-explore/mlx

/ 100

Health

safe to use

[email protected] is safe to use (health: 75/100)

Health breakdown0 – 100

25/25

maintenance

6/20

popularity

25/25

security

9/15

maturity

10/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

API access

Get this data programmatically — free, no authentication.

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

mlx-cpu

pypiv0.32.2

A framework for machine learning on Apple silicon.

License MITpermissive20 versions1 maintainers0 deps7,703 weekly dl

ml-explore/mlx

/ 100

Health

safe to use

[email protected] is safe to use (health: 75/100)

Health breakdown0 – 100

25/25

maintenance

6/20

popularity

25/25

security

9/15

maturity

10/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

API access

Get this data programmatically — free, no authentication.

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