Is Annotated Doc Safe?
Annotated Doc — Nerq Trust Score 48.5/100 (D grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-04-01.
Exercise caution with Annotated Doc. Annotated Doc is a Python package with a Nerq Trust Score of 48.5/100 (D), based on 3 independent data dimensions. It is below the recommended threshold of 70. Security: 65/100. Popularity: 95/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-01. Machine-readable data (JSON).
Is Annotated Doc safe?
NO — USE WITH CAUTION — Annotated Doc has a Nerq Trust Score of 48.5/100 (D). It has below-average trust signals with significant gaps in security, maintenance, or documentation. Not recommended for production use without thorough manual review and additional security measures.
What is Annotated Doc's trust score?
Annotated Doc has a Nerq Trust Score of 48.5/100, earning a D grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Annotated Doc?
Annotated Doc's strongest signal is popularity at 95/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Annotated Doc and who maintains it?
| Author | Unknown |
| Category | pypi |
| Source | N/A |
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Safety Guide: Annotated Doc
What is Annotated Doc?
Annotated Doc is a Python package — Document parameters, class attributes, return types, and variables inline, with 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-doc
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Annotated Doc has a Nerq Trust Score of 48/100 (D) 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 Doc has a Trust Score of 48/100 (D).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 65/100 |
| 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.
What data does Annotated Doc collect?
Annotated Doc is a Python package maintained by Unknown. It receives approximately 74,440,085 weekly downloads.
As a development package, Annotated Doc 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.
Full analysis: Annotated Doc Privacy Report · Privacy review
Is Annotated Doc secure?
Security score: 65/100. Annotated Doc 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.
Full analysis: Annotated Doc Security Report
How we calculated this score
Annotated Doc's trust score of 48.5/100 (D) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (65/100), 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 01, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
Frequently Asked Questions
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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.