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synthetic-data-generator
SDG is a specialized framework designed to generate high-quality structured tabular data.
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agent-appPythondata-generatoragenttabular-datallmsynthetic-dataprivacypythonmachine-learninggenerative-aigandeep-learning
SDG (synthetic-data-generator) is a Python framework for generating high-quality structured tabular data. Its topics point to generative techniques — deep learning, GANs, generative AI, and LLMs — with a stated role as an agent app in the agentic ecosystem.
Reach for it when you need synthetic tabular data instead of real records, such as for privacy-sensitive machine learning work.
Use it to
- Generate synthetic structured tabular datasets
- Prototype ML pipelines without exposing real records
- Address privacy concerns in data sharing
- Run it as an app within an agent workflow
For ML practitioners and data teams needing synthetic tabular data
- Role
- agent-app
- Language
- Python
- Licence
- Apache-2.0
- Forks
- 390
- Open issues
- 19
- Last push
- 2026-08-31
- Latest release
- 0.0.0a0 · 2023-08-11