Welcome to synthyverse’s documentation!

synthyverse is an extensive ecosystem for synthetic data generation and evaluation in Python.

The synthyverse provides:

• Modular installation - Install only the generator and evaluation extras needed for a given environment.

• Low-level APIs - Use preprocessing, generators, and metrics directly when you need explicit control.

• High-level wrappers - Use SynthyverseGenerator, TabularMetricEvaluator, and TabularSynthesisBenchmark for common end-to-end workflows.

• Shared preprocessing - Reuse schema restoration, missing-value handling, and constraints across generators.

• Benchmarking - Train, sample, evaluate, and save repeatable tabular synthesis runs.

Quick Start

Getting Started

• Installation
  • Available Installation Templates
  • First Synthetic Dataset
• In-Depth Usage
  • Low-Level Preprocessing
  • Low-Level Generators
  • Custom Modular Workflows
  • High-Level Generator Wrapper
  • Metrics and Evaluation
  • Benchmarking
  • Saving and Loading
  • Practical Guidance

API Reference

API Reference

• API Reference
  • Generators
  • Evaluation
  • Benchmarking