CTGAN

CTGAN is a Python library implementing a Conditional Generative Adversarial Network (GAN) specifically designed for synthesizing tabular data. It learns from real datasets to generate high-fidelity synthetic data, addressing challenges like mixed data types and imbalanced categorical columns. The library is actively maintained, with version 0.12.1 released in February 2026, and is part of the broader SDV (Synthetic Data Vault) ecosystem.