Is Pyisy Safe?
Pyisy — Nerq Trust Score 71.0/100 (B grade). Score based on 2 independent trust signals. Last analyzed: 2026-09-01
Pyisy is a Python package with a Nerq Trust Score of 71.0/100 (B), based on 3 independent data dimensions. Last analyzed: 2026-09-01 Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-09-01. Machine-readable data (JSON).
Is Pyisy safe?
Trust Score Breakdown — Pyisy has a Nerq Trust Score of 71.0/100 (B). Measured across 2 independent trust signals (as of 2026-09-01).
What is Pyisy's trust score?
Pyisy has a Nerq Trust Score of 71.0/100, 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 Pyisy?
Pyisy's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Pyisy and who maintains it?
| Author | Ryan Kraus |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Pyisy
What is Pyisy?
Pyisy is a Python package — Python module to talk to ISY devices from UDI..
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=pyisy
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Pyisy has a Nerq Trust Score of 71/100 (B). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Pyisy has a Trust Score of 71/100 (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
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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.