Is Jupyterlab Pygments Safe?

Jupyterlab Pygments — Nerq Trust Score 65.2/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-08-11

Jupyterlab Pygments is a Python package with a Nerq Trust Score of 65.2/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-08-11 Security: 90/100. Popularity: 100/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-08-11. Machine-readable data (JSON).

Is Jupyterlab Pygments safe?

Trust Score Breakdown — Jupyterlab Pygments has a Nerq Trust Score of 65.2/100 (B-). Measured across 2 independent trust signals (as of 2026-08-11).

Security Analysis → Jupyterlab Pygments Privacy Report →

What is Jupyterlab Pygments's trust score?

Jupyterlab Pygments has a Nerq Trust Score of 65.2/100, earning a B- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.

Security
90
Popularity
100

What are the key security findings for Jupyterlab Pygments?

Jupyterlab Pygments's strongest signal is popularity at 100/100. No known vulnerabilities have been detected.

Security score: 90/100 (strong)
Popularity: 100/100 — community adoption

What is Jupyterlab Pygments and who maintains it?

AuthorUnknown
CategoryPython Packages
SourceN/A

Similar Pypi by Trust Score

azure-mgmt-eventgrid (75)auditwheel (75)azure-mgmt-monitor (75)databases (75)bcrypt (75)
See all safest Pypi →

Compare

Jupyterlab Pygments vs azure-mgmt-eventgridJupyterlab Pygments vs auditwheelJupyterlab Pygments vs azure-mgmt-monitor

Safety Guide: Jupyterlab Pygments

What is Jupyterlab Pygments?

Jupyterlab Pygments is a Python package — Pygments theme using JupyterLab CSS variables.

How to Verify Safety

Run pip audit or safety check. Review on PyPI for download stats.

You can also check the trust score via API: GET /v1/preflight?target=jupyterlab-pygments

Key Safety Concerns for Python package

When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.

Measured Signals

Jupyterlab Pygments has a Nerq Trust Score of 65/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.

Key Takeaways

Frequently Asked Questions

Is Jupyterlab Pygments Safe?
jupyterlab-pygments with a Nerq Trust Score of 65.2/100 (B-). Strongest signal: popularity (100/100). Score based on Security (90/100), Popularity (100/100).
What is Jupyterlab Pygments's trust score?
jupyterlab-pygments: 65.2/100 (B-). Score based on Security (90/100), Popularity (100/100). Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=jupyterlab-pygments
What are safer alternatives to Jupyterlab Pygments?
In the Python Packages category, more Python packages are being analyzed — check back soon. jupyterlab-pygments scores 65.2/100.
Does Jupyterlab Pygments have known vulnerabilities?
Nerq checks Jupyterlab Pygments against NVD, OSV.dev, and registry-specific vulnerability databases. Current security score: 90/100. Run your package manager's audit command for the latest findings.
Is Jupyterlab Pygments actively maintained?
Jupyterlab Pygments maintenance score: N/A. Check the repository for recent commit activity and issue responsiveness.
API: /v1/preflight Trust Badge API Docs

See Also

Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.

We use cookies for analytics and caching. Privacy