Is Trix Safe?
Trix — Nerq Trust Score 80.8/100 (A- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-21
Trix is a npm package with a Nerq Trust Score of 80.8/100 (A-), based on 3 independent data dimensions. Last analyzed: 2026-03-21 Security: 90/100. Popularity: 75/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Trix safe?
Trust Score Breakdown — Trix has a Nerq Trust Score of 80.8/100 (A-). Measured across 2 independent trust signals (as of 2026-03-21).
What is Trix's trust score?
Trix has a Nerq Trust Score of 80.8/100, 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 Trix?
Trix's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Trix and who maintains it?
| Author | dhh |
| Category | npm Packages |
| Source | N/A |
Trix Across Platforms
Same developer/company in other registries:
Similar Npm by Trust Score
Safety Guide: Trix
What is Trix?
Trix is a Node.js package — A rich text editor for everyday writing.
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=trix
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Trix has a Nerq Trust Score of 81/100 (A-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Trix has a Trust Score of 81/100 (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
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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.