Is Brainmodeling Safe?
Brainmodeling — Nerq Trust Score 51.5/100 (C- grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-08-01.
Use Brainmodeling with some caution. Brainmodeling is a Python package with a Nerq Trust Score of 51.5/100 (C-), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Brainmodeling safe?
CAUTION — Brainmodeling 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.
What is Brainmodeling's trust score?
Brainmodeling has a Nerq Trust Score of 51.5/100, earning a C- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Brainmodeling?
Brainmodeling's strongest signal is security at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Brainmodeling and who maintains it?
| Author | BrainEvent Developers |
| Category | Python Packages |
| Source | N/A |
Similar Pypi by Trust Score
Safety Guide: Brainmodeling
What is Brainmodeling?
Brainmodeling is a Python package — Brain Modeling Ecosystem..
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=brainmodeling
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Brainmodeling 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
- Brainmodeling 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 Brainmodeling Safe?
What is Brainmodeling's trust score?
What are safer alternatives to Brainmodeling?
Does Brainmodeling have known vulnerabilities?
Is Brainmodeling actively maintained?
Popular in Python Packages
Browse Categories
See Also
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.