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).

Security Analysis → Check Duplicate Variables Privacy Report →

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.

Security
90
Popularity
0

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.

Security score: 90/100 (strong)
Popularity: 0/100 — community adoption

What is Check Duplicate Variables and who maintains it?

AuthorPandiyaraj Karuppasamy
CategoryPython Packages
SourceN/A

Similar Pypi by Trust Score

bccovideda (58)allure-pytest-default-results (58)analytics-mcp (58)bech32m (58)chem (58)
See all safest Pypi →

Compare

Check Duplicate Variables vs bccovidedaCheck Duplicate Variables vs allure-pytest-default-resultsCheck Duplicate Variables vs analytics-mcp

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

Frequently Asked Questions

Is Check Duplicate Variables Safe?
check-duplicate-variables with a Nerq Trust Score of 48.2/100 (D). Strongest signal: security (90/100). Score based on Security (90/100), Popularity (0/100).
What is Check Duplicate Variables's trust score?
check-duplicate-variables: 48.2/100 (D). Score based on Security (90/100), Popularity (0/100). Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=check-duplicate-variables
What are safer alternatives to Check Duplicate Variables?
In the Python Packages category, more Python packages are being analyzed — check back soon. check-duplicate-variables scores 48.2/100.
Does Check Duplicate Variables have known vulnerabilities?
Nerq checks Check Duplicate Variables against NVD, OSV.dev, and registry-specific vulnerability databases. Current security score: 90/100. Run your package manager's audit command for the latest findings.
Is Check Duplicate Variables actively maintained?
Check Duplicate Variables maintenance score: N/A. Check the repository for recent commit activity and issue responsiveness.
API: /v1/preflight Trust Badge API Docs

See Also

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.

We use cookies for analytics and caching. Privacy