Annotated Types安全吗？
Annotated Types — Nerq Trust Score 65.2/100 (B-级). 基于2个信任维度的分析，被评估为总体安全但存在一些担忧。 最后更新：2026-04-05。
请谨慎使用Annotated Types。 Annotated Types 是一个Python包 Nerq 信任分数 65.2/100（B-）, 基于3个独立数据维度. It is below the recommended threshold of 70. 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）.
Annotated Types安全吗？
CAUTION — Annotated Types 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.
Annotated Types的信任评分是多少？
Annotated Types 的 Nerq 信任分数为 65.2/100，等级为 B-。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。
Annotated Types的主要安全发现是什么？
Annotated Types 最强的信号是 人气，为 100/100。 未检测到已知漏洞。 尚未达到 Nerq 认证阈值 70+。
Annotated Types是什么，谁在维护它？
| 开发者 | Unknown |
| 类别 | pypi |
| 来源 | N/A |
按信任评分排列的类似Pypi
Safety Guide: Annotated Types
What is Annotated Types?
Annotated Types is a Python package — Reusable constraint types to use with typing.Annotated.
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=annotated-types
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Annotated Types 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
- Annotated Types has a Trust Score of 65/100 (B-).
- Review carefully before use — below 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.
Annotated Types收集哪些数据？
Annotated Types is a Python package maintained by Unknown. It receives approximately 131,077,574 weekly downloads.
As a development package, Annotated Types 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： Annotated Types隐私报告 · Privacy review
Annotated Types安全吗？
Security score: 90/100. Annotated Types 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： Annotated Types安全报告
我们如何计算此评分
Annotated Types's trust score of 65.2/100 (B-) 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 Annotated Types safe to use?
What is Annotated Types's trust score?
What are safer alternatives to Annotated Types?
Does Annotated Types have known vulnerabilities?
How actively maintained is Annotated Types?
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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。