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Scanned: 3 days ago

matplotlib-inline

Artifact:
latest
Top 1k
Inline Matplotlib backend for Jupyter
License: unknown
Published: 19 days 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

Popularity

1.58B
Total Downloads
1
Contributor
1
Declared Dependencies
581
Dependents

Top issues

No issues found.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
8 packages
found in
Top 100
62 packages
found in
Top 1k
649 packages
found in
Top 10k
39237 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
86 packages
found in
Top 100
682 packages
found in
Top 1k
5570 packages
found in
Top 10k
330447 packages
in community

Top vulnerabilities

No vulnerabilities found.

FAQ for matplotlib-inline

What is matplotlib-inline?

Inline Matplotlib backend for Jupyter.

Is matplotlib-inline malicious or is it safe to use?

The Python package matplotlib-inline 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 matplotlib-inline popular?

The Python package matplotlib-inline ranks among the top 1000 projects in this community. It has 2B 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 matplotlib-inline once it is in my app?

Since we can't know when or where malicious attacks will happen, we recommend tracking how matplotlib-inline behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a matplotlib-inline 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.