Is Csv Safe?
Csv — Nerq Trust Score 83.0/100 (A- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Csv is a npm package with a Nerq Trust Score of 83.0/100 (A-), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 90/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Csv safe?
Trust Score Breakdown — Csv has a Nerq Trust Score of 83.0/100 (A-). Measured across 2 independent trust signals (as of 2026-03-20).
What is Csv's trust score?
Csv has a Nerq Trust Score of 83.0/100, 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 Csv?
Csv's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Csv and who maintains it?
| Author | david |
| Category | npm Packages |
| Source | N/A |
Csv Across Platforms
Same developer/company in other registries:
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Safety Guide: Csv
What is Csv?
Csv is a Node.js package — A mature CSV toolset with simple api, full of options and tested against large 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=csv
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Csv has a Nerq Trust Score of 83/100 (A-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Csv has a Trust Score of 83/100 (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.