Is Bridgepython Safe?
Bridgepython — Nerq Trust Score 51.0/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Bridgepython is a Python package with a Nerq Trust Score of 51.0/100 (C-), 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 Bridgepython safe?
Trust Score Breakdown — Bridgepython has a Nerq Trust Score of 51.0/100 (C-). Measured across 2 independent trust signals (as of 2026-03-20).
What is Bridgepython's trust score?
Bridgepython has a Nerq Trust Score of 51.0/100, 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 Bridgepython?
Bridgepython's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Bridgepython and who maintains it?
| Author | UNKNOWN |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Bridgepython
What is Bridgepython?
Bridgepython is a Python package — A Python API for the Bridge service..
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=BridgePython
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Bridgepython has a Nerq Trust Score of 51/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Bridgepython has a Trust Score of 51/100 (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.