The Synthetic Data Vault (SDV) is a Python library designed to create tabular synthetic data using a variety of machine learning algorithms. It allows users to preprocess, anonymize and define constraints to improve the quality of the synthetic data. It also provides a way to evaluate and visualize the data, as well as generate a quality report. The SDV is publicly available and can be installed using pip or conda.
