Is Schwifty Safe?
Schwifty — Nerq Trust Score 62.8/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-22
Schwifty is a npm package with a Nerq Trust Score of 62.8/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-03-22 Security: 90/100. Popularity: 15/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-22. Machine-readable data (JSON).
Is Schwifty safe?
Trust Score Breakdown — Schwifty has a Nerq Trust Score of 62.8/100 (C+). Measured across 2 independent trust signals (as of 2026-03-22).
What is Schwifty's trust score?
Schwifty has a Nerq Trust Score of 62.8/100, 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 Schwifty?
Schwifty's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Schwifty and who maintains it?
| Author | devinivy |
| Category | npm Packages |
| Source | N/A |
Schwifty Across Platforms
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Safety Guide: Schwifty
What is Schwifty?
Schwifty is a Node.js package — A hapi plugin integrating Objection ORM.
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=schwifty
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Schwifty has a Nerq Trust Score of 63/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Schwifty has a Trust Score of 63/100 (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.