The fake data that I've bothered to model are weighted age ranges. Fortunately, as of Python3.6, you can access it from random.choices [2] in the stdlib
[1] https://github.com/joke2k/faker
[2] https://docs.python.org/3/library/random.html#random.choices
example: https://gist.github.com/Dowwie/8409d871ddae913e44c61bc4d47ce...
PS. that's a really cool python tip!
joke2k/faker is python and the data is stored in code (all or most of the random values are in .py files around the codebase), perhaps leading to its slowness.
stympy/faker is ruby and its random values are in yaml files, with some fields defined as ruby functions (those are not supported by plait.py).
can use 'plait -l' and 'plait -ll name' and 'plait -ll name.name' (more info in the README) to get a list of fake fields available.