Is Bunx Ray Safe?
Bunx Ray — Nerq Trust Score 61.2/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Bunx Ray is a npm package with a Nerq Trust Score of 61.2/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 15/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Bunx Ray safe?
Trust Score Breakdown — Bunx Ray has a Nerq Trust Score of 61.2/100 (C+). Measured across 2 independent trust signals (as of 2026-03-20).
What is Bunx Ray's trust score?
Bunx Ray has a Nerq Trust Score of 61.2/100, 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 Bunx Ray?
Bunx Ray's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Bunx Ray and who maintains it?
| Author | jpatterson933 |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Bunx Ray
What is Bunx Ray?
Bunx Ray is a Node.js package — ASCII heat-map bundle viewer for webpack, vite, and esbuild.
How to Verify Safety
Run npm audit to check for vulnerabilities. Review the package's GitHub repository for recent commits.
You can also check the trust score via API: GET /v1/preflight?target=bunx-ray
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Bunx Ray has a Nerq Trust Score of 61/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Bunx Ray has a Trust Score of 61/100 (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.