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The Synthetic Data Vault. Put synthetic data to work!
Generate realistic synthetic data for tables, databases, and time series using SDV, a platform for modeling and benchmarking synthetic datasets.
Create synthetic data for your projects easily
SDV (Synthetic Data Vault) is a platform designed to help you create synthetic versions of your data, whether it's in single tables, relational databases, or time series formats. If you need realistic data for testing, modeling, or sharing without exposing sensitive details, SDV makes it straightforward and accessible.
You can use SDV to learn from your real datasets and generate new, privacy-safe data that mimics the patterns and structure of the original. The platform offers tools for modeling, benchmarking, and evaluating your synthetic data, making it useful for data scientists, developers, and anyone working with data-driven projects.
Whether you're looking to protect sensitive information or simply want more data to test your ideas, SDV gives you a flexible and user-friendly way to put synthetic data to work in your workflow.
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