Is Sqliterally Safe?
Sqliterally — Nerq Trust Score 46.2/100 (D grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-25
Sqliterally is a npm package with a Nerq Trust Score of 46.2/100 (D), based on 3 independent data dimensions. Last analyzed: 2026-03-25 Security: 90/100. Popularity: 0/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-25. Machine-readable data (JSON).
Is Sqliterally safe?
Trust Score Breakdown — Sqliterally has a Nerq Trust Score of 46.2/100 (D). Measured across 2 independent trust signals (as of 2026-03-25).
What is Sqliterally's trust score?
Sqliterally has a Nerq Trust Score of 46.2/100, earning a D grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Sqliterally?
Sqliterally's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Sqliterally and who maintains it?
| Author | terkelg |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Sqliterally
What is Sqliterally?
Sqliterally is a Node.js package — Lightweight SQL query builder.
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=sqliterally
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Sqliterally has a Nerq Trust Score of 46/100 (D). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Sqliterally has a Trust Score of 46/100 (D).
- 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.