FLAMLv2.3.6

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License: Permissive (MIT)

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A fast library for automated machine learning and tuning

Warning

Risk: Vulnerabilities

4 medium severity vulnerabilities

SAFE Assessment

Compliance

Licenses

No license compliance issues

Secrets

No sensitive information found

Security

Vulnerabilities

4 medium severity vulnerabilities

Hardening

No application hardening issues

Threats

Tampering

No evidence of software tampering

Malware

No evidence of malware inclusion

Downloads

13.03M

Total Downloads

Contributions

Contributor

Dependencies

Declared Dependencies

Dependents

FAQ for FLAML

What is FLAML?

A fast library for automated machine learning and tuning. For more information about this package, visit its homepage.

Is FLAML malicious or is it safe to use?

The Python package FLAML 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 FLAML popular?

The Python package FLAML ranks among the top 10000 projects in this community. It has 13M 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 FLAML once it is in my app?

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