Is Datasets Male First Names En Safe?
Datasets Male First Names En — Nerq Trust Score 65.2/100 (B- grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-05-07.
Use Datasets Male First Names En with some caution. Datasets Male First Names En is a npm package with a Nerq Trust Score of 65.2/100 (B-), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 15/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Datasets Male First Names En safe?
CAUTION — Datasets Male First Names En has a Nerq Trust Score of 65.2/100 (B-). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
What is Datasets Male First Names En's trust score?
Datasets Male First Names En has a Nerq Trust Score of 65.2/100, 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 Datasets Male First Names En?
Datasets Male First Names En's strongest signal is security at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Datasets Male First Names En and who maintains it?
| Author | stdlib-bot |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Datasets Male First Names En
What is Datasets Male First Names En?
Datasets Male First Names En is a Node.js package — A list of common male first names in English speaking countries..
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=@stdlib/datasets-male-first-names-en
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Trust Assessment
Datasets Male First Names En has a Nerq Trust Score of 65/100 (B-) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Datasets Male First Names En has a Trust Score of 65/100 (B-).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 65/100 |
| Popularity | 15/100 |
| Quality | 80/100 |
| Community | 55/100 |
Based on 5 dimensions. Data from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Datasets Male First Names En collect?
Privacy assessment for Datasets Male First Names En is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Datasets Male First Names En secure?
Security score: 90/100. Datasets Male First Names En has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under Apache-2.0, allowing code inspection. Open-source packages allow independent security review of the source code.
Run your package manager's audit command (`npm audit`, `pip audit`, `cargo audit`) to check for known vulnerabilities in your dependency tree.
Full analysis: Datasets Male First Names En Security Report
How we calculated this score
Datasets Male First Names En's trust score of 65.2/100 (B-) is computed from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (65/100), popularity (15/100), quality (80/100), community (55/100). Each dimension is weighted equally to produce the composite trust score.
Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.
This page was last reviewed on May 07, 2026. Data version: 0.0.
Full methodology documentation · Machine-readable data (JSON API)
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.