Getting Started

This is an overview of OpenDP’s Python and R APIs.

• To interactively build OpenDP examples, try DP Wizard.

• For a more conceptual overview of differential privacy see the Theory section.

• For Python, R, and Rust library references see the API documentation.

• Quickstart
• Typical Workflow
• Working with Tabular Data
  • Essential Statistics
  • Grouping
  • Identifier Truncation
  • Preparing Microdata
  • Contingency Tables
• Statistical Modeling
  • Linear Regression
  • Differentially Private PCA
  • Synthetic Data
• Assessing Utility
• Next Steps