Is Camsa Safe?
Camsa — Nerq Trust Score 46.5/100 (D grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-03-31.
Exercise caution with Camsa. Camsa is a Python package with a Nerq Trust Score of 46.5/100 (D), based on 3 independent data dimensions. It is below the recommended threshold of 70. Security: 80/100. Popularity: 5/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-31. Machine-readable data (JSON).
Is Camsa safe?
NO — USE WITH CAUTION — Camsa has a Nerq Trust Score of 46.5/100 (D). 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 Camsa's trust score?
Camsa has a Nerq Trust Score of 46.5/100, earning a D grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Camsa?
Camsa's strongest signal is security at 80/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Camsa and who maintains it?
| Author | Sergey Aganezov |
| Category | pypi |
| Source | N/A |
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Safety Guide: Camsa
What is Camsa?
Camsa is a Python package — CAMSA: a tool for Comparative Analysis and Merging of Scaffold Assemblies.
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=CAMSA
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Camsa has a Nerq Trust Score of 46/100 (D) 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
- Camsa has a Trust Score of 46/100 (D).
- 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.