Installation

SDV is a public, source-available Python library for generating and evaluating synthetic data. You can download and use it under the Business Source License.

Requirements

• The SDV has been developed and tested on Python 3.8-3.13

• We recommend using a virtual environment (such as virtualenv) to avoid conflicts with other software on your device

Download Instructions

pip

Install the SDV 1.0 release candidate using pip.

pip install sdv

conda

Install the SDV 1.0 release candidate using conda.

conda install -c pytorch -c conda-forge sdv

Verification

To verify that you have installed the SDV correctly, check your version using the following code:

import sdv

print(sdv.version.public)

The printed version number should be the latest one found in our Release Notes.

Having trouble?

Visit our troubleshooting section to diagnose any issues.