Is Datasets Safe?
Datasets is a Python package with a Nerq Trust Score of 80.8/100 (A-). It is recommended for production use. Security: 90/100. Popularity: 100/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-22. Machine-readable data (JSON).
Is Datasets safe?
YES — Datasets has a Nerq Trust Score of 80.8/100 (A-). It meets Nerq's trust threshold with strong signals across security, maintenance, and community adoption. Recommended for production use — review the full report below for specific considerations.
Trust Score Breakdown
Key Findings
Details
| Author | HuggingFace Inc. |
| Category | pypi |
| Source | N/A |
Safety Guide: Datasets
What is Datasets?
Datasets is a Python package — HuggingFace community-driven open-source library of datasets.
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=datasets
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Datasets has a Nerq Trust Score of 81/100 (A-) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Datasets has a Trust Score of 81/100 (A-).
- Recommended for use — passes trust threshold.
- Always verify independently using the Nerq API.
Frequently Asked Questions
Is Datasets safe to use?
What is Datasets's trust score?
What are safer alternatives to Datasets?
Does Datasets have known vulnerabilities?
How actively maintained is Datasets?
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.