Is Nylas Safe?
Nylas — Nerq Trust Score 73.2/100 (B grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Nylas is a npm package with a Nerq Trust Score of 73.2/100 (B), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 0/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Nylas safe?
Trust Score Breakdown — Nylas has a Nerq Trust Score of 73.2/100 (B). Measured across 2 independent trust signals (as of 2026-03-20).
What is Nylas's trust score?
Nylas has a Nerq Trust Score of 73.2/100, earning a B grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Nylas?
Nylas's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Nylas and who maintains it?
| Author | b3ndoi |
| Category | npm Packages |
| Source | N/A |
Nylas Across Platforms
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Safety Guide: Nylas
What is Nylas?
Nylas is a Node.js package — A NodeJS wrapper for the Nylas REST API for email, contacts, and calendar..
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=nylas
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Nylas has a Nerq Trust Score of 73/100 (B). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Nylas has a Trust Score of 73/100 (B).
- 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.