Is Azureml Datadrift Safe?
Azureml Datadrift — Nerq Trust Score 67.2/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Azureml Datadrift is a Python package with a Nerq Trust Score of 67.2/100 (B-), 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 Azureml Datadrift safe?
Trust Score Breakdown — Azureml Datadrift has a Nerq Trust Score of 67.2/100 (B-). Measured across 2 independent trust signals (as of 2026-03-20).
What is Azureml Datadrift's trust score?
Azureml Datadrift has a Nerq Trust Score of 67.2/100, 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 Azureml Datadrift?
Azureml Datadrift's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Azureml Datadrift and who maintains it?
| Author | Microsoft Corp |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Azureml Datadrift
What is Azureml Datadrift?
Azureml Datadrift is a Python package — Contains functionality for data drift detection for various datasets used in 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-datadrift
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Azureml Datadrift has a Nerq Trust Score of 67/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Azureml Datadrift has a Trust Score of 67/100 (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.
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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.