pymc-bayesian-modeling
Pass
Audited by Gen Agent Trust Hub on Feb 16, 2026
Risk Level: LOW
Full Analysis
- [SAFE] (SAFE): The script follows standard data science practices for Bayesian modeling.
- Data Handling: It generates synthetic data for demonstration and provides examples for loading local CSV files.
- File Operations: It saves diagnostic plots (PNG), model summaries (CSV), and results (NetCDF) to the local filesystem, which is expected behavior for an analysis script.
- Dependencies: Uses reputable libraries including
pymc,arviz,numpy,pandas, andmatplotlib. - No Malicious Activity: No network requests, hardcoded credentials, or dynamic code execution (eval/exec) were found.
Audit Metadata