Is Typed Json Dataclass Safe?
Typed Json Dataclass — Nerq Trust Score 62.2/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-07-22
Typed Json Dataclass is a Python package with a Nerq Trust Score of 62.2/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-07-22 Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-07-22. Machine-readable data (JSON).
Is Typed Json Dataclass safe?
Trust Score Breakdown — Typed Json Dataclass has a Nerq Trust Score of 62.2/100 (C+). Measured across 2 independent trust signals (as of 2026-07-22).
What is Typed Json Dataclass's trust score?
Typed Json Dataclass 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 Typed Json Dataclass?
Typed Json Dataclass's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Typed Json Dataclass and who maintains it?
| Author | Aaron |
| Category | Python Packages |
| Source | N/A |
Typed Json Dataclass Across Platforms
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Safety Guide: Typed Json Dataclass
What is Typed Json Dataclass?
Typed Json Dataclass is a Python package — Make your dataclasses automatically validate their types.
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=typed-json-dataclass
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Typed Json Dataclass 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
- Typed Json Dataclass 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.