Is Onnx Tool Safe?
Onnx Tool — Nerq Trust Score 71.0/100 (B grade). Score based on 2 independent trust signals. Last analyzed: 2026-07-22
Onnx Tool is a Python package with a Nerq Trust Score of 71.0/100 (B), based on 3 independent data dimensions. Last analyzed: 2026-07-22 Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-07-22. Machine-readable data (JSON).
Is Onnx Tool safe?
Trust Score Breakdown — Onnx Tool has a Nerq Trust Score of 71.0/100 (B). Measured across 2 independent trust signals (as of 2026-07-22).
What is Onnx Tool's trust score?
Onnx Tool has a Nerq Trust Score of 71.0/100, earning a B grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Onnx Tool?
Onnx Tool's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Onnx Tool and who maintains it?
| Author | Luo Yu |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Onnx Tool
What is Onnx Tool?
Onnx Tool is a Python package — A tool for parsing, editing, optimizing, and profiling ONNX models..
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=onnx-tool
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Onnx Tool has a Nerq Trust Score of 71/100 (B). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Onnx Tool has a Trust Score of 71/100 (B).
- 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.