Is Pycountry Safe?
Pycountry — Nerq Trust Score 70.5/100 (B grade). Score based on 2 independent trust signals. Last analyzed: 2026-08-11
Pycountry is a Python package with a Nerq Trust Score of 70.5/100 (B), based on 3 independent data dimensions. Last analyzed: 2026-08-11 Security: 90/100. Popularity: 90/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-08-11. Machine-readable data (JSON).
Is Pycountry safe?
Trust Score Breakdown — Pycountry has a Nerq Trust Score of 70.5/100 (B). Measured across 2 independent trust signals (as of 2026-08-11).
What is Pycountry's trust score?
Pycountry has a Nerq Trust Score of 70.5/100, 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 Pycountry?
Pycountry's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Pycountry and who maintains it?
| Author | Christian Theune |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Pycountry
What is Pycountry?
Pycountry is a Python package — ISO country, subdivision, language, currency and script definitions and their translations.
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=pycountry
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Pycountry has a Nerq Trust Score of 70/100 (B). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Pycountry has a Trust Score of 70/100 (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.