Is Bring Api Safe?
Bring Api — Nerq Trust Score 65.5/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-21
Bring Api is a Python package with a Nerq Trust Score of 65.5/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-03-21 Security: 90/100. Popularity: 45/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Bring Api safe?
Trust Score Breakdown — Bring Api has a Nerq Trust Score of 65.5/100 (B-). Measured across 2 independent trust signals (as of 2026-03-21).
What is Bring Api's trust score?
Bring Api has a Nerq Trust Score of 65.5/100, earning a B- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Bring Api?
Bring Api's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Bring Api and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Bring Api
What is Bring Api?
Bring Api is a Python package — Unofficial package to access Bring! shopping lists API..
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=bring-api
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Bring Api has a Nerq Trust Score of 66/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Bring Api has a Trust Score of 66/100 (B-).
- 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.