Is Apoexptime Safe?
Apoexptime — Nerq Trust Score 54.2/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Apoexptime is a Python package with a Nerq Trust Score of 54.2/100 (C-), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Apoexptime safe?
Trust Score Breakdown — Apoexptime has a Nerq Trust Score of 54.2/100 (C-). Measured across 2 independent trust signals (as of 2026-03-20).
What is Apoexptime's trust score?
Apoexptime has a Nerq Trust Score of 54.2/100, 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 Apoexptime?
Apoexptime's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Apoexptime and who maintains it?
| Author | Alexander Stone-Martinez |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Apoexptime
What is Apoexptime?
Apoexptime is a Python package — Exposure time calculator for Apache point observatory.
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=APOExptime
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Apoexptime has a Nerq Trust Score of 54/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Apoexptime has a Trust Score of 54/100 (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.