Is Img2Dataset Safe?
Img2Dataset — Nerq Trust Score 68.8/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-10-01
Img2Dataset is a Python package with a Nerq Trust Score of 68.8/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-10-01 Security: 90/100. Popularity: 45/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-10-01. Machine-readable data (JSON).
Is Img2Dataset safe?
Trust Score Breakdown — Img2Dataset has a Nerq Trust Score of 68.8/100 (B-). Measured across 2 independent trust signals (as of 2026-10-01).
What is Img2Dataset's trust score?
Img2Dataset has a Nerq Trust Score of 68.8/100, earning a B- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Img2Dataset?
Img2Dataset's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Img2Dataset and who maintains it?
| Author | Romain Beaumont |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Img2Dataset
What is Img2Dataset?
Img2Dataset is a Python package — Easily turn a set of image urls to an image dataset.
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=img2dataset
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Img2Dataset has a Nerq Trust Score of 69/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Img2Dataset has a Trust Score of 69/100 (B-).
- 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.