The Python package jupyter-cache was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. No risks were detected, therefore, this version of the package is currently considered as safe to use.

Is jupyter-cache popular?

The Python package jupyter-cache ranks among the top 10000 projects in this community. It has 8M 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 jupyter-cache once it is in my app?

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

FAQ for jupyter-cache

What is jupyter-cache?

A defined interface for working with a cache of jupyter notebooks. For more information about this package, visit its homepage.