Is Amplo Safe?
Amplo — Nerq Trust Score 60.8/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Amplo is a Python package with a Nerq Trust Score of 60.8/100 (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 Amplo safe?
Trust Score Breakdown — Amplo has a Nerq Trust Score of 60.8/100 (C+). Measured across 2 independent trust signals (as of 2026-03-20).
What is Amplo's trust score?
Amplo has a Nerq Trust Score of 60.8/100, 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 Amplo?
Amplo's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Amplo and who maintains it?
| Author | Amplo AG |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Amplo
What is Amplo?
Amplo is a Python package — Fully automated end to end machine learning pipeline.
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=Amplo
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Amplo has a Nerq Trust Score of 61/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Amplo has a Trust Score of 61/100 (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.