Is Ambra Safe?
Ambra — Nerq Trust Score 49.2/100 (D grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-21
Ambra is a Python package with a Nerq Trust Score of 49.2/100 (D), based on 3 independent data dimensions. Last analyzed: 2026-03-21 Security: 90/100. Popularity: 15/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Ambra safe?
Trust Score Breakdown — Ambra has a Nerq Trust Score of 49.2/100 (D). Measured across 2 independent trust signals (as of 2026-03-21).
What is Ambra's trust score?
Ambra has a Nerq Trust Score of 49.2/100, earning a D grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Ambra?
Ambra's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Ambra and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
Similar Pypi by Trust Score
Safety Guide: Ambra
What is Ambra?
Ambra is a Python package — Ambra 3D Viewer.
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=ambra
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Ambra has a Nerq Trust Score of 49/100 (D). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Ambra has a Trust Score of 49/100 (D).
- 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 Ambra Safe?
What is Ambra's trust score?
What are safer alternatives to Ambra?
Does Ambra have known vulnerabilities?
Is Ambra 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.