Is Ipytablewidgets Safe?
Ipytablewidgets — Nerq Trust Score 62.2/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-07-22
Ipytablewidgets is a Python package with a Nerq Trust Score of 62.2/100 (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).
Is Ipytablewidgets safe?
Trust Score Breakdown — Ipytablewidgets has a Nerq Trust Score of 62.2/100 (C+). Measured across 2 independent trust signals (as of 2026-07-22).
What is Ipytablewidgets's trust score?
Ipytablewidgets has a Nerq Trust Score of 62.2/100, earning a C+ grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Ipytablewidgets?
Ipytablewidgets's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Ipytablewidgets and who maintains it?
| Author | Jean-Daniel Fekete, Christian Poli |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Ipytablewidgets
What is Ipytablewidgets?
Ipytablewidgets is a Python package — A set of widgets to help facilitate reuse of large tables across widgets.
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=ipytablewidgets
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Ipytablewidgets has a Nerq Trust Score of 62/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Ipytablewidgets has a Trust Score of 62/100 (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.
Frequently Asked Questions
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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.