Installation
RDT is an open source Python library that's free to download and use under the MIT license.
If you'd like to use RDT for synthetic data, we recommend installing the sdv library. It will automatically download RDT, along with other libraries to support synthetic data generation and evaluation.

Colab Notebook

The fastest way to get started is through a Google Colab Notebook. Click the link below to view a pre-populated notebook with a sample dataset.
Google Colaboratory
Create a copy of this notebook for your own use. You can upload your own data and run any of the code you see on this site.

Direct Download

You can also install the rdt package directly on your device.

Requirements

  • The RDT has been developed and tested on Python 3.6, 3.7, 3.8 and 3.9.
  • We recommend using a virtual environment (such as virtualenv) to avoid conflicts with other software on your device

Download Instructions

These docs are for RDT version 1.0 and beyond. If you are using a previous version, please update to see the new functionality.
pip
conda
We recommend downloading rdt using pip.
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pip install rdt
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This automatically downloads the most recent version from PyPi. You can also request a specific version.
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pip install rdt==1.0.0
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You can also download rdt using conda.
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conda install -c conda-forge rdt
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This automatically downloads the most recent version from conda.

Troubleshooting

I am installing on a MacOS with the new M1 chip
(Other) My issue is not listed here