Is Pymediawiki Safe?
Pymediawiki — Nerq Trust Score 65.0/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-11-01
Pymediawiki is a Python package with a Nerq Trust Score of 65.0/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-11-01 Security: 90/100. Popularity: 45/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-11-01. Machine-readable data (JSON).
Is Pymediawiki safe?
Trust Score Breakdown — Pymediawiki has a Nerq Trust Score of 65.0/100 (B-). Measured across 2 independent trust signals (as of 2026-11-01).
What is Pymediawiki's trust score?
Pymediawiki has a Nerq Trust Score of 65.0/100, 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 Pymediawiki?
Pymediawiki's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Pymediawiki and who maintains it?
| Author | Tyler Barrus |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Pymediawiki
What is Pymediawiki?
Pymediawiki is a Python package — Wikipedia and MediaWiki API wrapper for Python.
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=pymediawiki
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Pymediawiki has a Nerq Trust Score of 65/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Pymediawiki has a Trust Score of 65/100 (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.