Is Azure Storage File Datalake Safe?
Azure Storage File Datalake — Nerq Trust Score 79.2/100 (B+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-04-12
Azure Storage File Datalake is a Python package with a Nerq Trust Score of 79.2/100 (B+), based on 3 independent data dimensions. Last analyzed: 2026-04-12 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 Storage File Datalake safe?
Trust Score Breakdown — Azure Storage File Datalake has a Nerq Trust Score of 79.2/100 (B+). Measured across 2 independent trust signals (as of 2026-04-12).
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.
What is Azure Storage File Datalake and who maintains it?
| Author | Microsoft Corporation |
| Category | Python Packages |
| Source | N/A |
Azure Storage File Datalake Across Platforms
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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 package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Azure Storage File Datalake has a Nerq Trust Score of 79/100 (B+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Azure Storage File Datalake has a Trust Score of 79/100 (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.
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 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), 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.
Signals last measured on April 12, 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 measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.