sdv: MIT created Python Library for generating synthetic data

MIT's Data-to-AI lab created sdv (synthetic data vault) to generate realistic fake data from existing datasets.

Here's a code example:

from sdv.datasets import demo

from sdv.single_table import GaussianCopulaSynthesizer

import pandas as pd

real_data, metadata = download_demo('single_table', 'adult')
synthesizer = GaussianCopulaSynthesizer(metadata)

synthesizer.fit(real_data)

# Generates 1000 rows of synthetic data

synthetic_data = synthesizer.sample(1000)

Link to library: https://github.com/sdv-dev/SDV