Is Sveltick Safe?
Sveltick — Nerq Trust Score 64.5/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-22
Sveltick is a npm package with a Nerq Trust Score of 64.5/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-03-22 Security: 90/100. Popularity: 0/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-22. Machine-readable data (JSON).
Is Sveltick safe?
Trust Score Breakdown — Sveltick has a Nerq Trust Score of 64.5/100 (C+). Measured across 2 independent trust signals (as of 2026-03-22).
What is Sveltick's trust score?
Sveltick has a Nerq Trust Score of 64.5/100, 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 Sveltick?
Sveltick's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Sveltick and who maintains it?
| Author | kindast |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Sveltick
What is Sveltick?
Sveltick is a Node.js package — ⚡️ Sveltick: A lightweight, cool performance tracking library for Svelte apps!.
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=sveltick
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Sveltick has a Nerq Trust Score of 64/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Sveltick has a Trust Score of 64/100 (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.