Is Pytz Safe?
Pytz — Nerq Trust Score 77.0/100 (B+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-08-11
Pytz is a Python package with a Nerq Trust Score of 77.0/100 (B+), based on 3 independent data dimensions. Last analyzed: 2026-08-11 Security: 90/100. Popularity: 100/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-08-11. Machine-readable data (JSON).
Is Pytz safe?
Trust Score Breakdown — Pytz has a Nerq Trust Score of 77.0/100 (B+). Measured across 2 independent trust signals (as of 2026-08-11).
What is Pytz's trust score?
Pytz has a Nerq Trust Score of 77.0/100, 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 Pytz?
Pytz's strongest signal is popularity at 100/100. No known vulnerabilities have been detected.
What is Pytz and who maintains it?
| Author | Stuart Bishop |
| Category | Python Packages |
| Source | N/A |
Similar Pypi by Trust Score
Safety Guide: Pytz
What is Pytz?
Pytz is a Python package — World timezone definitions, modern and historical.
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=pytz
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Pytz has a Nerq Trust Score of 77/100 (B+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Pytz has a Trust Score of 77/100 (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
Is Pytz Safe?
What is Pytz's trust score?
What are safer alternatives to Pytz?
Does Pytz have known vulnerabilities?
Is Pytz actively maintained?
Popular in Python Packages
Browse Categories
See Also
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.