Is Airthings Safe?
Airthings — Nerq Trust Score 10.0/100 (F grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Airthings is a Python package with a Nerq Trust Score of 10.0/100 (F), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 10/100. Popularity: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Airthings safe?
Trust Score Breakdown — Airthings has a Nerq Trust Score of 10.0/100 (F). Measured across 2 independent trust signals (as of 2026-03-20).
What is Airthings's trust score?
Airthings has a Nerq Trust Score of 10.0/100, earning a F grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Airthings?
Airthings's strongest signal is security at 10/100. No known vulnerabilities have been detected.
What is Airthings and who maintains it?
| Author | Marius Kotlarz |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Airthings
What is Airthings?
Airthings is a Python package — Fetch sensor measurements from Airthings devices.
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=airthings
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Airthings has a Nerq Trust Score of 10/100 (F). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Airthings has a Trust Score of 10/100 (F).
- 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.