Is Azure Datalake Store Safe?
Azure Datalake Store — Nerq Trust Score 79.2/100 (B+ grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-06-23.
Yes, Azure Datalake Store is safe to use. Azure Datalake Store is a Python package with a Nerq Trust Score of 79.2/100 (B+), based on 3 independent data dimensions. Recommended for production use. Security: 90/100. Popularity: 90/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-12. Machine-readable data (JSON).
Is Azure Datalake Store safe?
YES — Azure Datalake Store has a Nerq Trust Score of 79.2/100 (B+). It meets Nerq's trust threshold with strong signals across security, maintenance, and community adoption. Recommended for production use — review the full report below for specific considerations.
What is Azure Datalake Store's trust score?
Azure Datalake Store has a Nerq Trust Score of 79.2/100, 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 Azure Datalake Store?
Azure Datalake Store's strongest signal is security at 90/100. No known vulnerabilities have been detected. It meets the Nerq Verified threshold of 70+.
What is Azure Datalake Store and who maintains it?
| Author | Microsoft Corporation |
| Category | Python Packages |
| Source | N/A |
Azure Datalake Store Across Platforms
Same developer/company in other registries:
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Safety Guide: Azure Datalake Store
What is Azure Datalake Store?
Azure Datalake Store is a Python package — Azure Data Lake Store Filesystem Client Library for Python.
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=azure-datalake-store
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Azure Datalake Store has a Nerq Trust Score of 79/100 (B+) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Azure Datalake Store has a Trust Score of 79/100 (B+).
- Recommended for use — passes trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 100/100 |
| Popularity | 90/100 |
| Quality | 65/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Azure Datalake Store collect?
Azure Datalake Store is a Python package maintained by Microsoft Corporation. It receives approximately 5,603,093 weekly downloads. Licensed under MIT License.
As a development package, Azure Datalake Store does not directly collect end-user personal data. However, applications built with it may collect data depending on implementation. Privacy score: 80/100.
Review the package's dependencies for potential supply chain risks. Run your package manager's audit command regularly.
Full analysis: Azure Datalake Store Privacy Report · Privacy review
Is Azure Datalake Store secure?
Security score: 90/100. Azure Datalake Store has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under MIT 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: Azure Datalake Store Security Report
Azure Datalake Store Across Platforms
Same developer/company in other registries:
How we calculated this score
Azure Datalake Store's trust score of 79.2/100 (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 (90/100), quality (65/100), 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 June 23, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.