Is mlx_lm safe to use?

mlx_lm has no known vulnerabilities on the latest version (0.31.3). DepScope rates its health at 81/100 (low risk).

What is the latest version of mlx_lm?

The latest version of mlx_lm is 0.31.3, released 2026-04-22.

Does mlx_lm have known vulnerabilities?

No known vulnerabilities on the latest version of mlx_lm.

Is mlx_lm deprecated?

No, mlx_lm is actively maintained. Latest release: 0.31.3 (2026-04-22).

What are alternatives to mlx_lm?

Popular alternatives to mlx_lm in PyPI include: boto3, packaging, urllib3, certifi, idna.

mlx_lm

pypiv0.31.3

LLMs with MLX and the Hugging Face Hub

License MITpermissive96 versions1 maintainers16 deps325,379 weekly dl

ml-explore/mlx-lm

/ 100

Health

safe to use

[email protected] is safe to use (health: 81/100)

Health breakdown0 – 100

25/25

maintenance

14/20

popularity

25/25

security

15/15

maturity

2/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (16)

mlx numpy transformers sentencepiece protobuf pyyaml jinja2 datasets;lm-eval;datasets;tqdm;lm-eval;tqdm;mlx[cuda13]mlx[cuda12]mlx[cpu]

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/mlx_lm

mlx_lm

pypiv0.31.3

LLMs with MLX and the Hugging Face Hub

License MITpermissive96 versions1 maintainers16 deps325,379 weekly dl

ml-explore/mlx-lm

/ 100

Health

safe to use

[email protected] is safe to use (health: 81/100)

Health breakdown0 – 100

25/25

maintenance

14/20

popularity

25/25

security

15/15

maturity

2/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (16)

mlx numpy transformers sentencepiece protobuf pyyaml jinja2 datasets;lm-eval;datasets;tqdm;lm-eval;tqdm;mlx[cuda13]mlx[cuda12]mlx[cpu]

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/mlx_lm