plaitpy/plaitpy: – a fake data modeler is a program for generating fake data from composable yaml templates.

The idea behind 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 we can stitch together those variables into a more coherent model.

some example uses for are:

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