Is Apexmf Safe?
Apexmf — Nerq Trust Score 56.5/100 (C grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-07-15.
Use Apexmf with some caution. Apexmf is a Python package with a Nerq Trust Score of 56.5/100 (C), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 15/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Apexmf safe?
CAUTION — Apexmf has a Nerq Trust Score of 56.5/100 (C). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
What is Apexmf's trust score?
Apexmf has a Nerq Trust Score of 56.5/100, 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 Apexmf?
Apexmf's strongest signal is security at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Apexmf and who maintains it?
| Author | Seonggyu Park |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Apexmf
What is Apexmf?
Apexmf is a Python package — apexmf is a set of python modules for APEX-MODFLOW model evaluation and parameter estimation..
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=apexmf
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Apexmf has a Nerq Trust Score of 56/100 (C) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Apexmf has a Trust Score of 56/100 (C).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.