Is Azure Devops Pyspark Safe?
Azure Devops Pyspark — Nerq Trust Score 50.2/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-25
Azure Devops Pyspark is a Python package with a Nerq Trust Score of 50.2/100 (C-), based on 3 independent data dimensions. Last analyzed: 2026-03-25 Security: 90/100. Popularity: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-25. Machine-readable data (JSON).
Is Azure Devops Pyspark safe?
Trust Score Breakdown — Azure Devops Pyspark has a Nerq Trust Score of 50.2/100 (C-). Measured across 2 independent trust signals (as of 2026-03-25).
What is Azure Devops Pyspark's trust score?
Azure Devops Pyspark has a Nerq Trust Score of 50.2/100, earning a C- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Azure Devops Pyspark?
Azure Devops Pyspark's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Azure Devops Pyspark and who maintains it?
| Author | Guilherme Silva dos Santos |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Azure Devops Pyspark
What is Azure Devops Pyspark?
Azure Devops Pyspark is a Python package — A productive library to extract data from Azure Devops and apply agile metrics..
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-devops-pyspark
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Azure Devops Pyspark has a Nerq Trust Score of 50/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Azure Devops Pyspark has a Trust Score of 50/100 (C-).
- 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.
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.