Is Ms Python.Debugpy Safe?

Ms Python.Debugpy — Nerq Trust Score 45.8/100 (D grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-03-31.

Exercise caution with Ms Python.Debugpy. Ms Python.Debugpy is a VS Code extension with a Nerq Trust Score of 45.8/100 (D), based on 3 independent data dimensions. It is below the recommended threshold of 70. Security: 65/100. Popularity: 90/100. Data sourced from VS Code Marketplace metadata, publisher verification, installs, and ratings. Last updated: 2026-03-31. Machine-readable data (JSON).

Is Ms Python.Debugpy safe?

NO — USE WITH CAUTION — Ms Python.Debugpy has a Nerq Trust Score of 45.8/100 (D). It has below-average trust signals with significant gaps in security, maintenance, or documentation. Not recommended for production use without thorough manual review and additional security measures.

Security Analysis → {name} Privacy Report →

What is Ms Python.Debugpy's trust score?

Ms Python.Debugpy has a Nerq Trust Score of 45.8/100, earning a D grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.

Security
65
Popularity
90

What are the key security findings for Ms Python.Debugpy?

Ms Python.Debugpy's strongest signal is popularity at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.

Security score: 65/100 (moderate)
Popularity: 90/100 — VS Code Marketplace

What is Ms Python.Debugpy and who maintains it?

AuthorMicrosoft
Categoryvscode
SourceN/A

Ms Python.Debugpy Across Platforms

Same developer/company in other registries:

botframework-connector
62/100 · pypi
botbuilder-core
61/100 · pypi
botbuilder-schema
60/100 · pypi
applicationinsights
59/100 · pypi
azure-quantum
58/100 · pypi

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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 46/100 (D) 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

Detailed Score Analysis

DimensionScore
Security65/100
Privacy90/100
Reliability100/100
Transparency60/100
Maintenance60/100

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: 65/100. Review security practices and consider alternatives with higher security scores for sensitive use cases.

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:

botframework-connector (pypi, 62/100)botbuilder-core (pypi, 61/100)botbuilder-schema (pypi, 60/100)applicationinsights (pypi, 59/100)

How we calculated this score

Ms Python.Debugpy's trust score of 45.8/100 (D) is computed from VS Code Marketplace metadata, publisher verification, installs, and ratings. The score reflects 5 independent dimensions: security (65/100), 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 March 31, 2026. Data version: 1.0.

Full methodology documentation · Machine-readable data (JSON API)

Frequently Asked Questions

Is Ms Python.Debugpy safe?
Exercise caution. ms-python.debugpy has a Nerq Trust Score of 45.8/100 (D). Strongest signal: popularity (90/100). Score based on security (65/100), popularity (90/100).
What is Ms Python.Debugpy's trust score?
ms-python.debugpy: 45.8/100 (D). Score based on: security (65/100), popularity (90/100). Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=ms-python.debugpy
What are safer alternatives to Ms Python.Debugpy?
In the vscode category, more VS Code extensions are being analyzed — check back soon. ms-python.debugpy scores 45.8/100.
Does Ms Python.Debugpy collect telemetry?
Nerq assesses Ms Python.Debugpy's data practices as part of its trust score (45.8/100). Security score: 65/100. Review the full safety report for detailed privacy analysis.
Is Ms Python.Debugpy's publisher verified?
Ms Python.Debugpy has a trust score of 45.8/100 (D). Below Nerq Verified threshold — conduct additional review.
API: /v1/preflight Trust Badge API Docs

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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.

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