Is Datafusion Functions Json Safe?
Datafusion Functions Json — Nerq Trust Score 59.8/100 (C grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-04-28.
Use Datafusion Functions Json with some caution. Datafusion Functions Json is a Rust crate with a Nerq Trust Score of 59.8/100 (C), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 90/100. Data sourced from crates.io registry, GitHub, NVD, and RustSec advisory database. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Datafusion Functions Json safe?
CAUTION — Datafusion Functions Json has a Nerq Trust Score of 59.8/100 (C). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
What is Datafusion Functions Json's trust score?
Datafusion Functions Json has a Nerq Trust Score of 59.8/100, 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 Datafusion Functions Json?
Datafusion Functions Json's strongest signal is security at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Datafusion Functions Json and who maintains it?
| Author | Unknown |
| Category | Rust Crates |
| Source | N/A |
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Safety Guide: Datafusion Functions Json
What is Datafusion Functions Json?
Datafusion Functions Json is a Rust crate — JSON functions for DataFusion.
How to Verify Safety
Run cargo audit. Review on crates.io for activity.
You can also check the trust score via API: GET /v1/preflight?target=datafusion-functions-json
Key Safety Concerns for Rust crate
When evaluating any Rust crate, watch for: dependency vulnerabilities, unsafe code, maintenance status.
Trust Assessment
Datafusion Functions Json has a Nerq Trust Score of 60/100 (C) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Datafusion Functions Json has a Trust Score of 60/100 (C).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 50/100 |
| Popularity | 90/100 |
| Quality | 30/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from crates.io registry, GitHub, NVD, and RustSec advisory database.
What data does Datafusion Functions Json collect?
Privacy assessment for Datafusion Functions Json is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Datafusion Functions Json secure?
Security score: 90/100. Datafusion Functions Json has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
License information not available. Open-source packages allow independent security review of the source code.
Run your package manager's audit command (`npm audit`, `pip audit`, `cargo audit`) to check for known vulnerabilities in your dependency tree.
Full analysis: Datafusion Functions Json Security Report
How we calculated this score
Datafusion Functions Json's trust score of 59.8/100 (C) is computed from crates.io registry, GitHub, NVD, and RustSec advisory database. The score reflects 5 independent dimensions: security (90/100), maintenance (50/100), popularity (90/100), quality (30/100), community (35/100). Each dimension is weighted equally to produce the composite trust score.
Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.
This page was last reviewed on April 28, 2026. Data version: 0.0.
Full methodology documentation · Machine-readable data (JSON API)
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.