Is Sklearn Safe?
Sklearn — Nerq Trust Score 63.5/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-21
Sklearn is a npm package with a Nerq Trust Score of 63.5/100 (C+), 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 Sklearn safe?
Trust Score Breakdown — Sklearn has a Nerq Trust Score of 63.5/100 (C+). Measured across 2 independent trust signals (as of 2026-03-21).
What is Sklearn's trust score?
Sklearn has a Nerq Trust Score of 63.5/100, 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 Sklearn?
Sklearn's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Sklearn and who maintains it?
| Author | fisch0920 |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Sklearn
What is Sklearn?
Sklearn is a Node.js package — Use Python's #1 machine learning library from Node.js.
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=sklearn
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Sklearn has a Nerq Trust Score of 64/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Sklearn has a Trust Score of 64/100 (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.