hitsz-ids/synthetic-data-generator

Health v2 · maintenance only

Adoption not part of the score

2434 stars · 391 forks observed · 2026-08-28

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

SDG (Synthetic Data Generator) is a Python framework for generating high-quality synthetic structured tabular data using deep learning, GANs, and LLMs. It supports privacy-preserving data synthesis and off-table inference for machine learning workflows.

Use cases

• generate synthetic tabular data for machine learning
• create privacy-safe fake datasets from real tables
• augment small datasets with synthetic rows
• use LLMs to synthesize structured data
• train models without exposing sensitive data

When to choose

• you need realistic synthetic tabular data for training or testing
• privacy constraints prevent sharing real datasets
• you want GAN- or LLM-based tabular data generation in Python

When to avoid

• you need synthetic images, audio, or text rather than tabular data
• you need a simple no-ML fake data faker tool

Facets

library · maturity active

data-generation machine-learning llm-inference privacy machine-learning data-science privacy artificial-intelligence python synthetic-data tabular-data gan generative-ai llm data-privacy

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markdown · JSON · MCP: product_card(name="hitsz-ids/synthetic-data-generator")