Differentially private synthesizers for tabular data. Package includes:
pip install smartnoise-synth
Please see the SmartNoise synthesizers documentation for usage examples.
MWEM and MST require columns to be categorical. If you have columns with continuous values, you should discretize them before fitting. Take care to discretize in a way that does not reveal information about the distribution of the data.
Please let us know if you encounter a bug by creating an issue.
We appreciate all contributions. Please review the contributors guide. We welcome pull requests with bug-fixes without prior discussion.
If you plan to contribute new features, utility functions or extensions to this system, please first open an issue and discuss the feature with us.
FAQs
Differentially Private Synthetic Data
We found that smartnoise-synth demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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