The Synthetic Data Vault (SDV) is a Python library for creating tabular synthetic data using machine learning. It uses various ML algorithms including deep learning and generative adversarial networks (GANs) to learn patterns from real datasets and emulate them in synthetic data. The library supports single tables, multi-table relational datasets, and time-series data.