Is Azureml Contrib Functions Safe?
Azureml Contrib Functions — Nerq Trust Score 62.8/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Azureml Contrib Functions is a Python package with a Nerq Trust Score of 62.8/100 (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 Azureml Contrib Functions safe?
Trust Score Breakdown — Azureml Contrib Functions has a Nerq Trust Score of 62.8/100 (C+). Measured across 2 independent trust signals (as of 2026-03-20).
What is Azureml Contrib Functions's trust score?
Azureml Contrib Functions has a Nerq Trust Score of 62.8/100, 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 Azureml Contrib Functions?
Azureml Contrib Functions's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Azureml Contrib Functions and who maintains it?
| Author | Microsoft Corp |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Azureml Contrib Functions
What is Azureml Contrib Functions?
Azureml Contrib Functions is a Python package — Enable creation of Azure Functions applications from models registered with Azure Machine Learning..
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=azureml-contrib-functions
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Azureml Contrib Functions has a Nerq Trust Score of 63/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Azureml Contrib Functions has a Trust Score of 63/100 (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.