Is Millheater Safe?
Millheater — Nerq Trust Score 68.8/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-09-01
Millheater is a Python package with a Nerq Trust Score of 68.8/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-09-01 Security: 90/100. Popularity: 45/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-09-01. Machine-readable data (JSON).
Is Millheater safe?
Trust Score Breakdown — Millheater has a Nerq Trust Score of 68.8/100 (B-). Measured across 2 independent trust signals (as of 2026-09-01).
What is Millheater's trust score?
Millheater has a Nerq Trust Score of 68.8/100, 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 Millheater?
Millheater's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Millheater and who maintains it?
| Author | Daniel Hjelseth Hoyer |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Millheater
What is Millheater?
Millheater is a Python package — A python3 library to communicate with Mill.
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=millheater
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Millheater has a Nerq Trust Score of 69/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Millheater has a Trust Score of 69/100 (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.