Is Ms Python.Isort Safe?
Ms Python.Isort — Nerq Trust Score 46.8/100 (D grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-04-01.
Exercise caution with Ms Python.Isort. Ms Python.Isort is a VS Code extension with a Nerq Trust Score of 46.8/100 (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: 2026-04-01. Machine-readable data (JSON).
Is Ms Python.Isort safe?
NO — USE WITH CAUTION — Ms Python.Isort has a Nerq Trust Score of 46.8/100 (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.
What is Ms Python.Isort's trust score?
Ms Python.Isort has a Nerq Trust Score of 46.8/100, earning a D 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.Isort?
Ms Python.Isort'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+.
What is Ms Python.Isort and who maintains it?
| Author | Microsoft |
| Category | vscode |
| Source | N/A |
Ms Python.Isort Across Platforms
Same developer/company in other registries:
Similar Vscode by Trust Score
Safety Guide: Ms Python.Isort
What is Ms Python.Isort?
Ms Python.Isort is a VS Code extension — Import organization support for Python files using isort..
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.isort
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.Isort has a Nerq Trust Score of 47/100 (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
- Ms Python.Isort has a Trust Score of 47/100 (D).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 65/100 |
| 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.Isort collect?
Ms Python.Isort has a privacy score of 90/100. Review the documentation and privacy policy for data handling details.
Full analysis: Ms Python.Isort Privacy Report · Privacy review
Is Ms Python.Isort 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.Isort Security Report
Ms Python.Isort Across Platforms
Same developer/company in other registries:
How we calculated this score
Ms Python.Isort's trust score of 46.8/100 (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 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.