mlflowv2.22.0

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PyPI

Published:

MLflow is an open source platform for the complete machine learning lifecycle

Fail

Risk: Vulnerabilities

15 severe vulnerabilities exploited

SAFE Assessment

Compliance

Licenses

No license compliance issues

Secrets

No sensitive information found

Security

Vulnerabilities

15 severe vulnerabilities exploited

Hardening

No application hardening issues

Threats

Tampering

No evidence of software tampering

Malware

No evidence of malware inclusion

Downloads

718.97M

Total Downloads

Maintenance

Contributor

Dependencies

Declared Dependencies

Dependents

743

Dependents

FAQ for mlflow

What is mlflow?

MLflow is an open source platform for the complete machine learning lifecycle.

Is mlflow malicious or is it safe to use?

The Python package mlflow 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 mlflow popular?

The Python package mlflow ranks among the top 1000 projects in this community. It has 719M 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 mlflow once it is in my app?

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