Is Imagedominantcolor Safe?
Imagedominantcolor — Nerq Trust Score 62.2/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-10-01
Imagedominantcolor is a Python package with a Nerq Trust Score of 62.2/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-10-01 Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-10-01. Machine-readable data (JSON).
Is Imagedominantcolor safe?
Trust Score Breakdown — Imagedominantcolor has a Nerq Trust Score of 62.2/100 (C+). Measured across 2 independent trust signals (as of 2026-10-01).
What is Imagedominantcolor's trust score?
Imagedominantcolor has a Nerq Trust Score of 62.2/100, 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 Imagedominantcolor?
Imagedominantcolor's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Imagedominantcolor and who maintains it?
| Author | Akash Mahanty |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Imagedominantcolor
What is Imagedominantcolor?
Imagedominantcolor is a Python package — Find dominant aka most common color of any image..
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=imagedominantcolor
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Imagedominantcolor has a Nerq Trust Score of 62/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Imagedominantcolor has a Trust Score of 62/100 (C+).
- 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.