Is Uninet Safe?
Uninet — Nerq Trust Score 60.0/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-21
Uninet is a npm package with a Nerq Trust Score of 60.0/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-03-21 Security: 90/100. Popularity: 15/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Uninet safe?
Trust Score Breakdown — Uninet has a Nerq Trust Score of 60.0/100 (C+). Measured across 2 independent trust signals (as of 2026-03-21).
What is Uninet's trust score?
Uninet has a Nerq Trust Score of 60.0/100, 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 Uninet?
Uninet's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Uninet and who maintains it?
| Author | pluskode |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Uninet
What is Uninet?
Uninet is a Node.js package — HTTP, WebSocket, and SSE server for Node.js — server only; use uninet-client for client (no dependency).
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=uninet
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Uninet has a Nerq Trust Score of 60/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Uninet has a Trust Score of 60/100 (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.