Is Ms Python.Debugpy Safe?
Ms Python.Debugpy — Nerq Trust Score 63.2/100 (C+ grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-04-02.
Use Ms Python.Debugpy with some caution. Ms Python.Debugpy is a VS Code extension with a Nerq Trust Score of 63.2/100 (C+), based on 3 independent data dimensions. It is below the recommended threshold of 70. Security: 90/100. Popularity: 100/100. Data sourced from VS Code Marketplace metadata, publisher verification, installs, and ratings. Last updated: 2026-04-02. Machine-readable data (JSON).
Is Ms Python.Debugpy safe?
CAUTION — Ms Python.Debugpy has a Nerq Trust Score of 63.2/100 (C+). 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.
What is Ms Python.Debugpy's trust score?
Ms Python.Debugpy has a Nerq Trust Score of 63.2/100, 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 Ms Python.Debugpy?
Ms Python.Debugpy's strongest signal is popularity at 100/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Ms Python.Debugpy and who maintains it?
| Author | Microsoft |
| Category | vscode |
| Source | N/A |
Ms Python.Debugpy Across Platforms
Same developer/company in other registries:
Similar Vscode by Trust Score
Safety Guide: Ms Python.Debugpy
What is Ms Python.Debugpy?
Ms Python.Debugpy is a VS Code extension — Python Debugger extension using debugpy..
How to Verify Safety
Check marketplace ratings and publisher verification. Review telemetry settings.
You can also check the trust score via API: GET /v1/preflight?target=ms-python.debugpy
Key Safety Concerns for VS Code extensions
When evaluating any VS Code extension, watch for: code execution scope, telemetry, supply chain risk.
Trust Assessment
Ms Python.Debugpy has a Nerq Trust Score of 63/100 (C+) 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
- Ms Python.Debugpy has a Trust Score of 63/100 (C+).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Privacy | 90/100 |
| Reliability | 100/100 |
| Transparency | 60/100 |
| Maintenance | 60/100 |
Based on 5 dimensions. Data from VS Code Marketplace metadata, publisher verification, installs, and ratings.
What data does Ms Python.Debugpy collect?
Ms Python.Debugpy has a privacy score of 90/100. Review the documentation and privacy policy for data handling details.
Full analysis: Ms Python.Debugpy Privacy Report · Privacy review
Is Ms Python.Debugpy secure?
Security score: 90/100. This meets the recommended security threshold for production use.
Nerq monitors this entity against NVD, OSV.dev, and registry-specific vulnerability databases for ongoing security assessment.
Full analysis: Ms Python.Debugpy Security Report
Ms Python.Debugpy Across Platforms
Same developer/company in other registries:
How we calculated this score
Ms Python.Debugpy's trust score of 63.2/100 (C+) is computed from VS Code Marketplace metadata, publisher verification, installs, and ratings. The score reflects 5 independent dimensions: security (90/100), privacy (90/100), reliability (100/100), transparency (60/100), 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 02, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
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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.