Is Datara Safe?
Datara — Nerq Trust Score 57.5/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-21
Datara is a npm package with a Nerq Trust Score of 57.5/100 (C), based on 3 independent data dimensions. Last analyzed: 2026-03-21 Security: 90/100. Popularity: 0/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Datara safe?
Trust Score Breakdown — Datara has a Nerq Trust Score of 57.5/100 (C). Measured across 2 independent trust signals (as of 2026-03-21).
What is Datara's trust score?
Datara has a Nerq Trust Score of 57.5/100, 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 Datara?
Datara's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Datara and who maintains it?
| Author | devraikou |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Datara
What is Datara?
Datara is a Node.js package — Modern, feature-rich JSON database module for Node.js with encryption, compression, transactions, and more.
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=datara
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Datara has a Nerq Trust Score of 58/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Datara has a Trust Score of 58/100 (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.