SynthoHive Documentation

SynthoHive is a production-grade synthetic data engine that generates high-fidelity, privacy-preserving synthetic data for complex relational databases. It maintains referential integrity across multi-table schemas, preserves statistical correlations, and provides automated PII handling.

What you'll find

• Getting Started: Install SynthoHive and run your first synthesis in minutes.
• Concepts: Understand the architecture and data flow behind the engine.
• Guides: Step-by-step instructions for fitting models, relational generation, embeddings, sampling, privacy, and validation.
• Demos: Runnable walk-throughs mirroring the examples/demos folder.
• API Reference: Auto-generated documentation for the interface, core models, privacy, relational, validation, and connectors modules.
• Config Examples: Copy-paste configurations for common scenarios.
• Troubleshooting: Solutions for common issues.

Quick install

pip install synthohive pyspark pandas pyarrow

Build docs locally

pip install .[docs]
mkdocs serve

Deploy to GitHub Pages:

mkdocs gh-deploy --force