Is Jupyterlab Execute Time Safe?

Jupyterlab Execute Time — Nerq Trust Score 59.2/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-07-22

Jupyterlab Execute Time is a Python package with a Nerq Trust Score of 59.2/100 (C), based on 3 independent data dimensions. Last analyzed: 2026-07-22 Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-07-22. Machine-readable data (JSON).

Safety Guide: Jupyterlab Execute Time

What is Jupyterlab Execute Time?

Jupyterlab Execute Time is a Python package — Display cell timings in Jupyter Lab.

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-execute-time

Key Safety Concerns for Python package

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

Measured Signals

Jupyterlab Execute Time has a Nerq Trust Score of 59/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.

Key Takeaways

• Jupyterlab Execute Time has a Trust Score of 59/100 (C).
• The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
• Query the current measured values via the Nerq API.

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.