Is Anubis Safe?
Use Anubis with some caution. Anubis is a Python package with a Nerq Trust Score of 51.5/100 (C-), based on 3 independent data dimensions. It is below the recommended threshold of 70. Security: 90/100. Popularity: 15/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-27. Machine-readable data (JSON).
Is Anubis safe?
CAUTION — Anubis has a Nerq Trust Score of 51.5/100 (C-). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
Trust Score Breakdown
Key Findings
Details
| Author | Stefano Rinaldi |
| Category | pypi |
| Source | N/A |
Anubis Across Platforms
Same developer/company in other registries:
Safety Guide: Anubis
What is Anubis?
Anubis is a Python package — Astrophysical Nonparametrically Upgraded Bayesian Inference of Subpopulations.
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=anubis
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Anubis has a Nerq Trust Score of 52/100 (C-) 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
- Anubis has a Trust Score of 52/100 (C-).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Frequently Asked Questions
Is Anubis safe to use?
What is Anubis's trust score?
What are safer alternatives to Anubis?
Does Anubis have known vulnerabilities?
How actively maintained is Anubis?
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.