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jupyterlab-pygments

Artifact:
latest
Top 1k
Pygments theme using JupyterLab CSS variables
License: unknown
Published: about 2 years 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

1.04B
Total Downloads
2
Contributors
0
Declared Dependencies
230
Dependents

Top issues

No issues found.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
13 packages
found in
Top 100
92 packages
found in
Top 1k
565 packages
found in
Top 10k
24963 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
39 packages
found in
Top 100
280 packages
found in
Top 1k
1754 packages
found in
Top 10k
67026 packages
in community

Prevalence in PyPI community

No behavior prevalence information at this time

Prevalence in PyPI community

Behavior often found in this community (Common)
2 packages
found in
Top 100
17 packages
found in
Top 1k
145 packages
found in
Top 10k
14913 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
19 packages
found in
Top 100
127 packages
found in
Top 1k
790 packages
found in
Top 10k
36342 packages
in community

Top vulnerabilities

No vulnerabilities found.

FAQ for jupyterlab-pygments

What is jupyterlab-pygments?

Pygments theme using JupyterLab CSS variables.

Is jupyterlab-pygments malicious or is it safe to use?

The Python package jupyterlab-pygments 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 jupyterlab-pygments popular?

The Python package jupyterlab-pygments ranks among the top 1000 projects in this community. It has 1B 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 jupyterlab-pygments once it is in my app?

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