Is Pyxll Safe?
Pyxll — Nerq Trust Score 65.8/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-11-01
Pyxll is a Python package with a Nerq Trust Score of 65.8/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-11-01 Security: 90/100. Popularity: 45/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-11-01. Machine-readable data (JSON).
Is Pyxll safe?
Trust Score Breakdown — Pyxll has a Nerq Trust Score of 65.8/100 (B-). Measured across 2 independent trust signals (as of 2026-11-01).
What is Pyxll's trust score?
Pyxll has a Nerq Trust Score of 65.8/100, earning a B- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Pyxll?
Pyxll's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Pyxll and who maintains it?
| Author | PyXLL Ltd |
| Category | Python Packages |
| Source | N/A |
Similar Pypi by Trust Score
Safety Guide: Pyxll
What is Pyxll?
Pyxll is a Python package — Write Microsoft Excel Add-Ins in Python.
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=pyxll
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Pyxll has a Nerq Trust Score of 66/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Pyxll has a Trust Score of 66/100 (B-).
- 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
Is Pyxll Safe?
What is Pyxll's trust score?
What are safer alternatives to Pyxll?
Does Pyxll have known vulnerabilities?
Is Pyxll actively maintained?
Popular in Python Packages
Browse Categories
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.