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Welcome to Gretel!
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Model Configuration
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Model Configuration
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SDK Notebooks
Jupyter notebook-based tutorials for popular use cases around synthetic data.
Docs
Gretel's Python SDK and CLI:
https://python.docs.gretel.ai
Gretel's Open Source Synthetic Core:
https://synthetics.docs.gretel.ai
Examples
Notebook
Launch
Description
create-synthetic-data
Open in
Colab
Walk through the basics of using Gretel's Python SDK to create a synthetic dataset from a Pandas DataFrame or CSV.
local-synthetics
Open in
Colab
Train a synthetic model locally and generate data in your environment.
smart-seeding
Open in
Colab
Smart seeding is helpful when you want to preserve some of the original row data (primary keys, dates, important categorical data) in synthetic datasets.
create-synthetic-time-series
Open in Colab
Create synthetic time-series data from a Pandas DataFrame or CSV.
synthetic-oversampling-for-imbalanced-data
Open in Colab
Use a synthetic model to boost the representation of an extreme minority class in a dataset by incorporating features from nearest neighbors.
Videos
Walk through creating synthetic data with Gretel.ai, Python, Pandas, and Jupyter.
Synthetics - Previous
Model Configuration
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CLI Examples
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