Scikit Learn est-il sûr ?
Scikit Learn — Nerq Trust Score 88.0/100 (Note A). Sur la base de l'analyse de 2 dimensions de confiance, il est considéré comme sûr. Dernière mise à jour : 2026-04-05.
Oui, Scikit Learn est sûr à utiliser. Scikit Learn est un package Python avec un Nerq Trust Score de 88.0/100 (A), basé sur 3 dimensions de données indépendantes. It is recommandé pour une utilisation en production. Security: 90/100. Popularity: 100/100. Données de PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Dernière mise à jour: 2026-04-05. Données lisibles par machine (JSON).
Scikit Learn est-il sûr ?
YES — Scikit Learn has a Nerq Trust Score of 88.0/100 (A). It meets Nerq's trust threshold with strong signals across security, maintenance, and community adoption. Recommandé pour une utilisation en production — review the full report below for specific considerations.
Quel est le score de confiance de Scikit Learn ?
Scikit Learn a un Score de Confiance Nerq de 88.0/100, obtenant la note A. Ce score est basé sur 2 dimensions mesurées indépendamment.
Quels sont les résultats de sécurité clés pour Scikit Learn ?
Le signal le plus fort de Scikit Learn est popularité à 100/100. Aucune vulnérabilité connue n'a été détectée. Atteint le seuil vérifié Nerq de 70+.
Qu'est-ce que Scikit Learn et qui le maintient ?
| Auteur | Unknown |
| Catégorie | pypi |
| Source | N/A |
Pypi similaires par Score de Confiance
Safety Guide: Scikit Learn
What is Scikit Learn?
Scikit Learn is a Python package — A set of python modules for machine learning and data mining.
How to Verify Safety
Run pip audit or safety check. Review on PyPI for download stats.
You can also check the trust score via API: GET /v1/preflight?target=scikit-learn
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Scikit Learn has a Nerq Trust Score of 76/100 (B+) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Scikit Learn has a Trust Score of 76/100 (B+).
- Recommended for use — passes trust threshold.
- Always verify independently using the Nerq API.
Analyse détaillée du score
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Privacy | 80/100 |
| Reliability | 90/100 |
| Transparency | 50/100 |
| Maintenance | 60/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
Quelles données Scikit Learn collecte-t-il ?
Scikit Learn is a Python package maintained by Unknown. It receives approximately 45,807,671 weekly downloads.
As a development package, Scikit Learn does not directly collect end-user personal data. However, applications built with it may collect data depending on implementation. Privacy score: 80/100.
Review the package's dependencies for potential supply chain risks. Run your package manager's audit command regularly.
Analyse complète : Rapport de confidentialité de Scikit Learn · Privacy review
Scikit Learn est-il sécurisé ?
Security score: 90/100. Scikit Learn has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
License information not available. 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.
Analyse complète : Rapport de sécurité de Scikit Learn
Comment nous avons calculé ce score
Scikit Learn's trust score of 88.0/100 (A) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), privacy (80/100), reliability (90/100), transparency (50/100), maintenance (60/100). 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 April 05, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
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Disclaimer: Les scores de confiance Nerq sont des évaluations automatisées basées sur des signaux publiquement disponibles. Ce ne sont pas des recommandations ou des garanties. Effectuez toujours votre propre vérification.