geopandas
Pass
Audited by Gen Agent Trust Hub on Feb 17, 2026
Risk Level: SAFE
Full Analysis
- SAFE (SAFE): No malicious patterns detected. The code consists of standard geospatial analysis workflows using the GeoPandas library.
- Data Exposure & Exfiltration (SAFE): The database connection example uses standard placeholder credentials ('user:pass') and targets localhost, which is acceptable for documentation purposes.
- Unverifiable Dependencies (SAFE): All libraries mentioned (geopandas, sqlalchemy, matplotlib, folium) are well-known, established packages in the Python data science ecosystem.
- Command Execution (SAFE): No shell commands or arbitrary execution patterns were found.
Audit Metadata