Is Azure Storage File Datalake Safe?
Azure Storage File Datalake — 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: 2026-04-01.
Yes, Azure Storage File Datalake is safe to use. Azure Storage File Datalake is a Python package with a Nerq Trust Score of 79.2/100 (B+), based on 3 independent data dimensions. It is 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: 2026-04-01. Machine-readable data (JSON).
Is Azure Storage File Datalake safe?
YES — Azure Storage File Datalake 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 Storage File Datalake's trust score?
Azure Storage File Datalake 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 Storage File Datalake?
Azure Storage File Datalake'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 Storage File Datalake and who maintains it?
| Author | Microsoft Corporation |
| Category | pypi |
| Source | N/A |
Azure Storage File Datalake Across Platforms
Same developer/company in other registries:
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Safety Guide: Azure Storage File Datalake
What is Azure Storage File Datalake?
Azure Storage File Datalake is a Python package — Microsoft Azure File DataLake Storage 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-storage-file-datalake
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Azure Storage File Datalake 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 Storage File Datalake 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 |
| Privacy | 80/100 |
| Reliability | 90/100 |
| Transparency | 85/100 |
| Maintenance | 60/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Azure Storage File Datalake collect?
Azure Storage File Datalake is a Python package maintained by Microsoft Corporation. It receives approximately 8,465,235 weekly downloads. Licensed under MIT License.
As a development package, Azure Storage File Datalake 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 Storage File Datalake Privacy Report · Privacy review
Is Azure Storage File Datalake secure?
Security score: 90/100. Azure Storage File Datalake 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 Storage File Datalake Security Report
Azure Storage File Datalake Across Platforms
Same developer/company in other registries:
How we calculated this score
Azure Storage File Datalake'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), privacy (80/100), reliability (90/100), transparency (85/100), maintenance (60/100). 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 April 01, 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.