Is Sqlite Safe?
Sqlite — Nerq Trust Score 84.5/100 (A- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Sqlite is a npm package with a Nerq Trust Score of 84.5/100 (A-), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 60/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Sqlite safe?
Trust Score Breakdown — Sqlite has a Nerq Trust Score of 84.5/100 (A-). Measured across 2 independent trust signals (as of 2026-03-20).
What is Sqlite's trust score?
Sqlite has a Nerq Trust Score of 84.5/100, earning a A- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Sqlite?
Sqlite's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Sqlite and who maintains it?
| Author | jcesarmobile |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Sqlite
What is Sqlite?
Sqlite is a Node.js package — Community plugin for native & electron SQLite databases.
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=@capacitor-community/sqlite
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Sqlite has a Nerq Trust Score of 84/100 (A-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Sqlite has a Trust Score of 84/100 (A-).
- 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
Is Sqlite Safe?
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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.