Data-Centric-AI-Community/ydata-synthetic
Synthetic data generators for tabular and time-series data
This project helps data professionals, researchers, and analysts create artificial datasets that statistically mimic real-world tabular or time-series information. You provide an existing dataset (like customer demographics or stock prices), and it generates a new, synthetic dataset of the same type and structure. This is ideal for anyone who needs to work with data that has privacy concerns or is too small to be effective.
1,614 stars.
Use this if you need to generate realistic-looking data for development, analysis, or sharing, without exposing sensitive real-world information, or if you need to expand a limited dataset.
Not ideal if you need to work directly with the original, identifiable raw data or if your project requires absolute real-world accuracy rather than statistical similarity.
Stars
1,614
Forks
257
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 02, 2026
Commits (30d)
0
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