Is Pyobjc Framework Passkit Safe?
Pyobjc Framework Passkit — Nerq Trust Score 69.5/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-07-22
Pyobjc Framework Passkit is a Python package with a Nerq Trust Score of 69.5/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-07-22 Security: 90/100. Popularity: 75/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-07-22. Machine-readable data (JSON).
Is Pyobjc Framework Passkit safe?
Trust Score Breakdown — Pyobjc Framework Passkit has a Nerq Trust Score of 69.5/100 (B-). Measured across 2 independent trust signals (as of 2026-07-22).
What is Pyobjc Framework Passkit's trust score?
Pyobjc Framework Passkit has a Nerq Trust Score of 69.5/100, 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 Pyobjc Framework Passkit?
Pyobjc Framework Passkit's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Pyobjc Framework Passkit and who maintains it?
| Author | Ronald Oussoren |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Pyobjc Framework Passkit
What is Pyobjc Framework Passkit?
Pyobjc Framework Passkit is a Python package — Wrappers for the framework PassKit on macOS.
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=pyobjc-framework-passkit
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Pyobjc Framework Passkit has a Nerq Trust Score of 70/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Pyobjc Framework Passkit has a Trust Score of 70/100 (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.
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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.