Is Asmog Safe?
Asmog — Nerq Trust Score 61.5/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Asmog is a Python package with a Nerq Trust Score of 61.5/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 45/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Asmog safe?
Trust Score Breakdown — Asmog has a Nerq Trust Score of 61.5/100 (C+). Measured across 2 independent trust signals (as of 2026-03-20).
What is Asmog's trust score?
Asmog has a Nerq Trust Score of 61.5/100, 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 Asmog?
Asmog's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Asmog and who maintains it?
| Author | Klaudiusz Staniek |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Asmog
What is Asmog?
Asmog is a Python package — Python API for Ampio Smog Sensors.
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=asmog
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Asmog 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
- Asmog 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.