The Python package jmp 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 jmp popular?

The Python package jmp ranks among the top 10000 projects in this community. It has 5M 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 jmp once it is in my app?

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