synthetig 0.0.2a1

Synthetig: An open-source synthetic data generation platform.

Synthetig

Synthetig is a Python package for creating synthetic data that can be trusted.
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Table of Contents

About the Project

Installing

Getting Started

How to Get Involved

Contact Us

Citation

About the Project

Synthetig is a project to make an open source synthetic data generation platform. It is a comprehensive platform that will make the process of generating synthetic data simple, which the user can trust.

Installing

The easiest way to install Synthetig is by pip install:

$ pip install synthetig

Getting Started

Generating your first synthetic data set:

$ python

>>> from synthetig import Model 
>>> from synthetig.example import load_data
>>> ctgan = Model.CTGAN()
>>> real_data = load_data()
>>> ctgam.fit(real_data)
>>> synthetic_data  = ctgan.smaple(number_of_samples=2000)

How to Get Involved

We would love for you to get involved in anyway you can, at Synthetig we are an open house so anyone is welcome. We give a brief introduction below on how to give involved. The CODE_OF_CONDUCT.md outlines the conduct that we expect from everyone one in the community.

1. Say "Hello"

The first thing to do is to say "hello" to the community by joining our Slack and introduce yourself to the community.

2. Read our Contributing Guide

Have a read of our contributing guide.

2. Get Involved

If you are a bit lost on what to do, have a look at the list of issues and look for "good first issues". If nothing stands out, just jump on our Slack and send one of the team members a message.

Contact Us

Twitter

Website

Slack

Models Used

1. CTGAN (from Data to AI Lab at MIT) released with the paper Modeling Tabular data using Conditional GAN, by Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, Kalyan Veeramachaneni.

Citation

Our paper is coming soon, but in the mean time you can cite our Synthetig library:

@misc{hind_lee-mcmaster,
  title={Synthetig-Synthetic data Generation},
  author={Hind, Jonathan and Lee-McMaster, Nick},
  journal={Synthetig},
  url={http://www.synthetig.ai/}
}