User Guides

The guides section is here to take you from amateur to professional with AGENT. You will see many of the more advanced options available and have steps to implement them in your own systems.

Working with AGENT

Comprehensive tutorials covering Private Python development, Jupyter notebook integration, and secure data analysis workflows using the %%ag magic command.

Platform Management

Administrative guides for managing user roles, permissions, platform users, and privacy budget requests across teams and datasets.

Python Packages

Extensive library support including pandas, diffprivlib, OpenDP, SmartNoise, Opacus, TensorFlow, and record linkage tools for privacy-preserving machine learning and data science.

AGENT SQL

SQL interface for differential privacy queries with JDBC connectivity, supporting popular clients like DBeaver, SQL Workbench, and custom applications.