The Synthetic Data Vault
What can you use synthetic data for?
Use a synthetic data in place of real data for added protection, or use it in addition to your real data as an enhancement.
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The SDV Ecosystem
Public, Source-Available Libraries
The SDV is an overall ecosystem for synthetic data models, benchmarks, and metrics. Explore publicly available libraries supporting the SDV. Each can be used as standalone packages for particular needs.
Models & generates tabular data with Deep Learning. Offers CTGAN and TVAE models.
Models & generates time series data with a mix of classic statistical models and Deep Learning.
Try it out now!
Quickly discover SDV with just a few lines of code!
from sdv.datasets.demo import download_demo from sdv.lite import SingleTablePreset real_data, metadata = download_demo( 'single_table', 'fake_hotel_guests') synthesizer = SingleTablePreset(metadata, name='FAST_ML') synthesizer.fit(real_data) synthetic_data = synthesizer.sample(num_rows=10)
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