Scikit Learn安全吗？
Scikit Learn — Nerq Trust Score 88.0/100 (A级). 基于2个信任维度的分析，被评估为可安全使用。 最后更新：2026-04-05。
是的，Scikit Learn可以安全使用。 Scikit Learn 是一个Python包 Nerq 信任分数 88.0/100（A）, 基于3个独立数据维度. It is 推荐生产环境使用. Security: 90/100. Popularity: 100/100. 数据来源于PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard。最后更新：2026-04-05。 机器可读数据（JSON）.
Scikit Learn安全吗？
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. 推荐生产环境使用 — review the full report below for specific considerations.
Scikit Learn的信任评分是多少？
Scikit Learn 的 Nerq 信任分数为 88.0/100，等级为 A。该分数基于 2 个独立测量的维度，包括安全性、维护和社区采用。
Scikit Learn的主要安全发现是什么？
Scikit Learn 最强的信号是 人气，为 100/100。 未检测到已知漏洞。 达到 Nerq 认证阈值 70+。
Scikit Learn是什么，谁在维护它？
| 开发者 | Unknown |
| 类别 | pypi |
| 来源 | N/A |
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.
评分详细分析
| 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.
Scikit Learn收集哪些数据？
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.
完整分析： Scikit Learn隐私报告 · Privacy review
Scikit Learn安全吗？
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.
完整分析： Scikit Learn安全报告
我们如何计算此评分
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)
常见问题
Is Scikit Learn safe to use?
What is Scikit Learn's trust score?
What are safer alternatives to Scikit Learn?
Does Scikit Learn have known vulnerabilities?
How actively maintained is Scikit Learn?
热门 pypi
Disclaimer: Nerq 信任评分是基于公开信号的自动评估。它们不构成建议或保证。请始终进行自己的验证。