pytdc
Pass
Audited by Gen Agent Trust Hub on Feb 17, 2026
Risk Level: SAFE
Full Analysis
- [SAFE] (SAFE): Analysis of the Python scripts and documentation reveals no malicious patterns. The code utilizes standard data science libraries (numpy, pandas) and the specialized PyTDC library for biomedical research tasks.
- [EXTERNAL_DOWNLOADS] (SAFE): While the PyTDC library downloads datasets to a local 'data/' directory, this is the intended and documented behavior of the framework for accessing open-source biomedical data.
Audit Metadata