Is Mkdocs Callouts Safe?
Mkdocs Callouts — Nerq Trust Score 67.2/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-11-01
Mkdocs Callouts is a Python package with a Nerq Trust Score of 67.2/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-11-01 Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-11-01. Machine-readable data (JSON).
Is Mkdocs Callouts safe?
Trust Score Breakdown — Mkdocs Callouts has a Nerq Trust Score of 67.2/100 (B-). Measured across 2 independent trust signals (as of 2026-11-01).
What is Mkdocs Callouts's trust score?
Mkdocs Callouts has a Nerq Trust Score of 67.2/100, earning a B- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Mkdocs Callouts?
Mkdocs Callouts's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Mkdocs Callouts and who maintains it?
| Author | Sondre Grønås |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Mkdocs Callouts
What is Mkdocs Callouts?
Mkdocs Callouts is a Python package — A simple plugin that converts Obsidian style callouts and converts them into mkdocs supported 'admonitions' (a.k.a. callouts)..
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=mkdocs-callouts
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Mkdocs Callouts has a Nerq Trust Score of 67/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Mkdocs Callouts has a Trust Score of 67/100 (B-).
- 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.