Is Azureml Evaluate Mlflow Safe?

Azureml Evaluate Mlflow — Nerq Trust Score 50.2/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-25

Azureml Evaluate Mlflow is a Python package with a Nerq Trust Score of 50.2/100 (C-), based on 3 independent data dimensions. Last analyzed: 2026-03-25 Security: 90/100. Popularity: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-25. Machine-readable data (JSON).

Safety Guide: Azureml Evaluate Mlflow

What is Azureml Evaluate Mlflow?

Azureml Evaluate Mlflow is a Python package — Contains the integration code of AzureML Evaluate with Mlflow..

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-evaluate-mlflow

Key Safety Concerns for Python package

When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.

Measured Signals

Azureml Evaluate Mlflow has a Nerq Trust Score of 50/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.

Key Takeaways

• Azureml Evaluate Mlflow has a Trust Score of 50/100 (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.

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.