Is Birdseye Mc Safe?
Birdseye Mc — Nerq Trust Score 50.2/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-25
Birdseye Mc is a Python package with a Nerq Trust Score of 50.2/100 (C-), based on 3 independent data dimensions. Last analyzed: 2026-03-25 Security: 90/100. Popularity: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-25. Machine-readable data (JSON).
Is Birdseye Mc safe?
Trust Score Breakdown — Birdseye Mc has a Nerq Trust Score of 50.2/100 (C-). Measured across 2 independent trust signals (as of 2026-03-25).
What is Birdseye Mc's trust score?
Birdseye Mc has a Nerq Trust Score of 50.2/100, 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 Birdseye Mc?
Birdseye Mc's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Birdseye Mc and who maintains it?
| Author | Evan Pratten |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Birdseye Mc
What is Birdseye Mc?
Birdseye Mc is a Python package — A tool for watching players on multiplayer Minecraft servers.
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=birdseye-mc
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Birdseye Mc has a Nerq Trust Score of 50/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Birdseye Mc has a Trust Score of 50/100 (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.