Is Car Crash Detection Safe?
Car Crash Detection — Nerq Trust Score 49.2/100 (D grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Car Crash Detection is a Python package with a Nerq Trust Score of 49.2/100 (D), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. 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 Car Crash Detection safe?
Trust Score Breakdown — Car Crash Detection has a Nerq Trust Score of 49.2/100 (D). Measured across 2 independent trust signals (as of 2026-03-20).
What is Car Crash Detection's trust score?
Car Crash Detection has a Nerq Trust Score of 49.2/100, earning a D grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Car Crash Detection?
Car Crash Detection's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Car Crash Detection and who maintains it?
| Author | Mohamed Sebaie |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Car Crash Detection
What is Car Crash Detection?
Car Crash Detection is a Python package — Car Crash Detection From Surveillance Cameras and Video Streams.
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=Car-Crash-Detection
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Car Crash Detection has a Nerq Trust Score of 49/100 (D). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Car Crash Detection has a Trust Score of 49/100 (D).
- 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.