Is Ampy Safe?
Ampy — Nerq Trust Score 54.8/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-21
Ampy is a Python package with a Nerq Trust Score of 54.8/100 (C-), based on 3 independent data dimensions. Last analyzed: 2026-03-21 Security: 90/100. Popularity: 30/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Ampy safe?
Trust Score Breakdown — Ampy has a Nerq Trust Score of 54.8/100 (C-). Measured across 2 independent trust signals (as of 2026-03-21).
What is Ampy's trust score?
Ampy has a Nerq Trust Score of 54.8/100, 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 Ampy?
Ampy's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Ampy and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
Similar Pypi by Trust Score
Safety Guide: Ampy
What is Ampy?
Ampy is a Python package — Python-based Processing Tool for Active Matter Experiments.
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=ampy
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Ampy has a Nerq Trust Score of 55/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Ampy has a Trust Score of 55/100 (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
Is Ampy Safe?
What is Ampy's trust score?
What are safer alternatives to Ampy?
Does Ampy have known vulnerabilities?
Is Ampy actively maintained?
Popular in Python Packages
Browse Categories
See Also
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.