Is Openjd Model Safe?
Openjd Model — Nerq Trust Score 62.2/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-09-01
Openjd Model is a Python package with a Nerq Trust Score of 62.2/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-09-01 Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-09-01. Machine-readable data (JSON).
Is Openjd Model safe?
Trust Score Breakdown — Openjd Model has a Nerq Trust Score of 62.2/100 (C+). Measured across 2 independent trust signals (as of 2026-09-01).
What is Openjd Model's trust score?
Openjd Model has a Nerq Trust Score of 62.2/100, 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 Openjd Model?
Openjd Model's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Openjd Model and who maintains it?
| Author | Amazon Web Services |
| Category | Python Packages |
| Source | N/A |
Openjd Model Across Platforms
Same developer/company in other registries:
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Safety Guide: Openjd Model
What is Openjd Model?
Openjd Model is a Python package — Provides a Python implementation of the data model for Open Job Description's template schemas..
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=openjd-model
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Openjd Model has a Nerq Trust Score of 62/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Openjd Model has a Trust Score of 62/100 (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.