Is Ane Transformers Safe?
Ane Transformers — Nerq Trust Score 53.8/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Ane Transformers is a Python package with a Nerq Trust Score of 53.8/100 (C-), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 30/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Ane Transformers safe?
Trust Score Breakdown — Ane Transformers has a Nerq Trust Score of 53.8/100 (C-). Measured across 2 independent trust signals (as of 2026-03-20).
What is Ane Transformers's trust score?
Ane Transformers has a Nerq Trust Score of 53.8/100, 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 Ane Transformers?
Ane Transformers's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Ane Transformers and who maintains it?
| Author | Apple Inc. |
| Category | Python Packages |
| Source | N/A |
Ane Transformers Across Platforms
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Safety Guide: Ane Transformers
What is Ane Transformers?
Ane Transformers is a Python package — Reference PyTorch implementation of Transformers for Apple Neural Engine (ANE) deployment.
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=ane-transformers
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Ane Transformers 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
- Ane Transformers 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.