mlxv0.26.5

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License: Permissive (MIT)

PyPI

Homepage

Published:

A framework for machine learning on Apple silicon.

Warning

Risk: Hardening

1 execution hijacking concerns

SAFE Assessment

Compliance

Licenses

No license compliance issues

Secrets

No sensitive information found

Security

Vulnerabilities

No known vulnerabilities detected

Hardening

1 execution hijacking concerns

Threats

Tampering

No evidence of software tampering

Malware

No evidence of malware inclusion

Downloads

1.26M

Total Downloads

Contributions

Contributor

Dependencies

Declared Dependencies

Dependents

115

Dependents

FAQ for mlx

What is mlx?

A framework for machine learning on Apple silicon. For more information about this package, visit its homepage.

Is mlx malicious or is it safe to use?

The Python package mlx was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. The package contains risks, and the analysis results should be reviewed before it is downloaded and used. Visit the Issues and Behaviors sections of the analysis for more details.

Is mlx popular?

The Python package mlx is not widely used. It has 1M recorded downloads. A package's popularity is not a good indicator of its safety, visit the SAFE Assessment section to see the full analysis of package deployment risk categories.

How do I secure mlx once it is in my app?

Since we can't know when or where malicious attacks will happen, we recommend tracking how mlx behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a mlx version, which can prevent advanced software supply chain attacks. Read how our technology can help prevent future attacks similar to SolarWinds and 3CX.