Is Aiobreaker Safe?
Aiobreaker — Nerq Trust Score 63.0/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Aiobreaker is a Python package with a Nerq Trust Score of 63.0/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Aiobreaker safe?
Trust Score Breakdown — Aiobreaker has a Nerq Trust Score of 63.0/100 (C+). Measured across 2 independent trust signals (as of 2026-03-20).
What is Aiobreaker's trust score?
Aiobreaker has a Nerq Trust Score of 63.0/100, 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 Aiobreaker?
Aiobreaker's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Aiobreaker and who maintains it?
| Author | Alexander Lyon |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Aiobreaker
What is Aiobreaker?
Aiobreaker is a Python package — Python implementation of the Circuit Breaker pattern..
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=aiobreaker
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Aiobreaker has a Nerq Trust Score of 63/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Aiobreaker has a Trust Score of 63/100 (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.