Is Embedjs Safe?
Embedjs — Nerq Trust Score 66.8/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-21
Embedjs is a npm package with a Nerq Trust Score of 66.8/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-03-21 Security: 90/100. Popularity: 30/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Embedjs safe?
Trust Score Breakdown — Embedjs has a Nerq Trust Score of 66.8/100 (B-). Measured across 2 independent trust signals (as of 2026-03-21).
What is Embedjs's trust score?
Embedjs has a Nerq Trust Score of 66.8/100, 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 Embedjs?
Embedjs's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Embedjs and who maintains it?
| Author | defi-failure |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Embedjs
What is Embedjs?
Embedjs is a Node.js package — A NodeJS RAG framework to easily work with LLMs and custom datasets.
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=@cherrystudio/embedjs
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Embedjs has a Nerq Trust Score of 67/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Embedjs has a Trust Score of 67/100 (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.