Is Py Dmidecode Safe?
Py Dmidecode — Nerq Trust Score 55.0/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-11-01
Py Dmidecode is a Python package (python library to parse the output of dmidecode) with a Nerq Trust Score of 55.0/100 (C), 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 Py Dmidecode safe?
Trust Score Breakdown — Py Dmidecode has a Nerq Trust Score of 55.0/100 (C). Measured across 2 independent trust signals (as of 2026-11-01).
What is Py Dmidecode's trust score?
Py Dmidecode has a Nerq Trust Score of 55.0/100, 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 Py Dmidecode?
Py Dmidecode's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Py Dmidecode and who maintains it?
| Author | Christophe de Carvalho |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Py Dmidecode
What is Py Dmidecode?
Py Dmidecode is a Python package — python library to parse the output of dmidecode.
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=py-dmidecode
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Py Dmidecode has a Nerq Trust Score of 55/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Py Dmidecode has a Trust Score of 55/100 (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.