Is Udocker Safe?
Udocker — Nerq Trust Score 64.0/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-07-22
Udocker is a Python package with a Nerq Trust Score of 64.0/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-07-22 Security: 90/100. Popularity: 45/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-07-22. Machine-readable data (JSON).
Is Udocker safe?
Trust Score Breakdown — Udocker has a Nerq Trust Score of 64.0/100 (C+). Measured across 2 independent trust signals (as of 2026-07-22).
What is Udocker's trust score?
Udocker has a Nerq Trust Score of 64.0/100, earning a C+ grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Udocker?
Udocker's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Udocker and who maintains it?
| Author | Jorge Gomes |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Udocker
What is Udocker?
Udocker is a Python package — A basic user tool to execute simple docker containers in batch or interactive systems without root privileges.
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=udocker
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Udocker has a Nerq Trust Score of 64/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Udocker has a Trust Score of 64/100 (C+).
- 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.