plait.py is a program for generating fake data from composable yaml templates.

The idea behind plait.py is that it should be easy to model fake data that has an interesting shape. Currently, many fake data generators model their data as a collection of IID variables; with plait.py we can stitch together those variables into a more coherent model.

some example uses for plait.py are:

generating mock application data in test environments
validating the usefulness of statistical techniques
creating synthetic datasets for performance tuning databases