Is Cafe Safe?
Cafe — Nerq Trust Score 31.8/100 (F grade). Based on analysis of 2 trust dimensions, it is has significant safety risks. Last updated: 2026-03-31.
Exercise caution with Cafe. Cafe is a Python package with a Nerq Trust Score of 31.8/100 (F), based on 3 independent data dimensions. It is below the recommended threshold of 70. Security: 65/100. Popularity: 12/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-31. Machine-readable data (JSON).
Is Cafe safe?
NO — USE WITH CAUTION — Cafe has a Nerq Trust Score of 31.8/100 (F). It has below-average trust signals with significant gaps in security, maintenance, or documentation. Not recommended for production use without thorough manual review and additional security measures.
What is Cafe's trust score?
Cafe has a Nerq Trust Score of 31.8/100, earning a F grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Cafe?
Cafe's strongest signal is security at 65/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Cafe and who maintains it?
| Author | Justin Lin |
| Category | pypi |
| Source | N/A |
Cafe Across Platforms
Same developer/company in other registries:
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Safety Guide: Cafe
What is Cafe?
Cafe is a Python package — Classifying Antibodies for Expression.
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=cafe
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Cafe has a Nerq Trust Score of 32/100 (F) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Cafe has a Trust Score of 32/100 (F).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.