Is Check Duplicate Variables Safe?
Check Duplicate Variables — Nerq Trust Score 48.2/100 (D grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-25
Check Duplicate Variables is a Python package with a Nerq Trust Score of 48.2/100 (D), 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 Check Duplicate Variables safe?
Trust Score Breakdown — Check Duplicate Variables has a Nerq Trust Score of 48.2/100 (D). Measured across 2 independent trust signals (as of 2026-03-25).
What is Check Duplicate Variables's trust score?
Check Duplicate Variables has a Nerq Trust Score of 48.2/100, 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 Check Duplicate Variables?
Check Duplicate Variables's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Check Duplicate Variables and who maintains it?
| Author | Pandiyaraj Karuppasamy |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Check Duplicate Variables
What is Check Duplicate Variables?
Check Duplicate Variables is a Python package — Detect duplicate variable names within the same scope in Python files.
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=check-duplicate-variables
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Check Duplicate Variables has a Nerq Trust Score of 48/100 (D). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Check Duplicate Variables has a Trust Score of 48/100 (D).
- 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.