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failIncident: Removal
Scanned: 14 days ago

keras-nlp

Artifact:
removed
Top 10k
Industry-strength Natural Language Processing extensions for Keras.
License: Permissive (Apache-2.0)
Published: about 1 year ago
Visit Github
See on PyPI

SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
No sensitive information found

Security

Vulnerabilities
No known vulnerabilities detected
Hardening
No application hardening issues

Threats

Tampering
No evidence of software tampering
Malware
No evidence of malware inclusion

INCIDENTS FOR THIS VERSION:

removal
Reported By: Community

Popularity

4.09M
Total Downloads
3
Contributors
1
Declared Dependencies
35
Dependents

Top issues

No issues found.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
85 packages
found in
Top 100
751 packages
found in
Top 1k
6292 packages
found in
Top 10k
363809 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
97 packages
found in
Top 100
816 packages
found in
Top 1k
6970 packages
found in
Top 10k
463877 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
96 packages
found in
Top 100
834 packages
found in
Top 1k
7732 packages
found in
Top 10k
505269 packages
in community

Top vulnerabilities

No vulnerabilities found.

FAQ for keras-nlp

What is keras-nlp?

Industry-strength Natural Language Processing extensions for Keras. For more information about this package, visit its homepage.

Is keras-nlp malicious or is it safe to use?

The Python package keras-nlp has been removed from registry. It 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 used. Visit the Issues and Behaviors sections of the analysis for more details.

Is keras-nlp popular?

The Python package keras-nlp ranks among the top 10000 projects in this community. It has 4M 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 keras-nlp once it is in my app?

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

Did you know...

... that you can use ReversingLabs’ Spectra Assure platform to perform regular risk assessments of packages you develop in-house?

We recommend continuous software safeness monitoring through CI/CD integrations and pre-release/deployment checks. In addition to basic package information found on this page our platform offers rich reports for developers and DevSecOps that help them remediate all reported issues.