Is Azureml Contrib Dataset Safe?

Azureml Contrib Dataset — Nerq Trust Score 67.2/100 (B- grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-05-09.

Use Azureml Contrib Dataset with some caution. Azureml Contrib Dataset is a Python package with a Nerq Trust Score of 67.2/100 (B-), based on 3 independent data dimensions. Below the recommended threshold of 70. 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 Contrib Dataset safe?

CAUTION — Azureml Contrib Dataset has a Nerq Trust Score of 67.2/100 (B-). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.

Security Analysis → Azureml Contrib Dataset Privacy Report →

What is Azureml Contrib Dataset's trust score?

Azureml Contrib Dataset 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.

Security
90
Popularity
30

What are the key security findings for Azureml Contrib Dataset?

Azureml Contrib Dataset's strongest signal is security at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.

Security score: 90/100 (strong)
Popularity: 30/100 — community adoption

What is Azureml Contrib Dataset and who maintains it?

AuthorMicrosoft Corp
CategoryPython Packages
SourceN/A

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Safety Guide: Azureml Contrib Dataset

What is Azureml Contrib Dataset?

Azureml Contrib Dataset is a Python package — Contains experimental Dataset features for the azureml-core package..

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-dataset

Key Safety Concerns for Python package

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

Trust Assessment

Azureml Contrib Dataset has a Nerq Trust Score of 67/100 (B-) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.

Key Takeaways

Detailed Score Analysis

DimensionScore
Security90/100
Maintenance100/100
Popularity30/100
Quality50/100
Community35/100

Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.

What data does Azureml Contrib Dataset collect?

Privacy assessment for Azureml Contrib Dataset is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.

Is Azureml Contrib Dataset secure?

Security score: 90/100. Azureml Contrib Dataset has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.

Licensed under Proprietary https://aka.ms/azureml-preview-sdk-license, allowing code inspection. Open-source packages allow independent security review of the source code.

Run your package manager's audit command (`npm audit`, `pip audit`, `cargo audit`) to check for known vulnerabilities in your dependency tree.

Full analysis: Azureml Contrib Dataset Security Report

How we calculated this score

Azureml Contrib Dataset's trust score of 67.2/100 (B-) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (100/100), popularity (30/100), quality (50/100), community (35/100). Each dimension is weighted equally to produce the composite trust score.

Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.

This page was last reviewed on May 09, 2026. Data version: 0.0.

Full methodology documentation · Machine-readable data (JSON API)

Frequently Asked Questions

Is Azureml Contrib Dataset Safe?
Use with some caution. azureml-contrib-dataset with a Nerq Trust Score of 67.2/100 (B-). Strongest signal: security (90/100). Score based on Security (90/100), Popularity (30/100).
What is Azureml Contrib Dataset's trust score?
azureml-contrib-dataset: 67.2/100 (B-). Score based on Security (90/100), Popularity (30/100). Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=azureml-contrib-dataset
What are safer alternatives to Azureml Contrib Dataset?
In the Python Packages category, more Python packages are being analyzed — check back soon. azureml-contrib-dataset scores 67.2/100.
Does Azureml Contrib Dataset have known vulnerabilities?
Nerq checks Azureml Contrib Dataset against NVD, OSV.dev, and registry-specific vulnerability databases. Current security score: 90/100. Run your package manager's audit command for the latest findings.
Is Azureml Contrib Dataset actively maintained?
Azureml Contrib Dataset maintenance score: N/A. Check the repository for recent commit activity and issue responsiveness.
API: /v1/preflight Trust Badge API Docs

See Also

Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.

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