Is Auto Crop Safe?
Auto Crop — Nerq Trust Score 53.8/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Auto Crop is a Python package with a Nerq Trust Score of 53.8/100 (C-), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Auto Crop safe?
Trust Score Breakdown — Auto Crop has a Nerq Trust Score of 53.8/100 (C-). Measured across 2 independent trust signals (as of 2026-03-20).
What is Auto Crop's trust score?
Auto Crop has a Nerq Trust Score of 53.8/100, 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 Auto Crop?
Auto Crop's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Auto Crop and who maintains it?
| Author | Hao Li |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Auto Crop
What is Auto Crop?
Auto Crop is a Python package — Smart auto cropping tool that supports any aspect ratio.
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=auto-crop
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Auto Crop has a Nerq Trust Score of 54/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Auto Crop has a Trust Score of 54/100 (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.