Data-Centric-AI-Community/fg-data-synthetic

Health v2 · maintenance only

Adoption not part of the score

1654 stars · 257 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python library for generating synthetic tabular and time-series data using state-of-the-art generative models such as GANs (including CTGAN) and Gaussian Mixture models. It is the community-maintained continuation of ydata-synthetic, available on PyPI as fg-data-synthetic.

Use cases

• generate synthetic tabular data for machine learning training
• create synthetic time-series data
• augment or balance imbalanced datasets
• share data while preserving privacy compliance
• remove bias from training datasets
• generate synthetic data without a GPU using Gaussian Mixture models
• generate synthetic data via a low-code Streamlit UI

When to avoid

• you need an end-to-end enterprise UI for data preparation and evaluation
• you need synthetic data for unstructured data like images or text
• you require strict formal privacy guarantees rather than statistical replication

Facets

library · maturity active

data-generation machine-learning deep-learning data-science machine-learning privacy python cross-platform synthetic-data gan ctgan time-series tabular-data generative-models tensorflow pytorch

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