Is Scs4Onnx Safe?
Scs4Onnx — Nerq Trust Score 59.0/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-09-01
Scs4Onnx is a Python package with a Nerq Trust Score of 59.0/100 (C), based on 3 independent data dimensions. Last analyzed: 2026-09-01 Security: 90/100. Popularity: 45/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-09-01. Machine-readable data (JSON).
Is Scs4Onnx safe?
Trust Score Breakdown — Scs4Onnx has a Nerq Trust Score of 59.0/100 (C). Measured across 2 independent trust signals (as of 2026-09-01).
What is Scs4Onnx's trust score?
Scs4Onnx has a Nerq Trust Score of 59.0/100, 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 Scs4Onnx?
Scs4Onnx's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Scs4Onnx and who maintains it?
| Author | Katsuya Hyodo |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Scs4Onnx
What is Scs4Onnx?
Scs4Onnx is a Python package — A very simple tool that compresses the overall size of the ONNX model by aggregating duplicate constant values as much as possible. Simple Constant value Shrink for ONNX..
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=scs4onnx
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Scs4Onnx has a Nerq Trust Score of 59/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Scs4Onnx has a Trust Score of 59/100 (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.