As of this writing, there have been 25 committers to the project, and issues are being handled swiftly.
I'm very impressed with Elizabeth-it's super-fast, lightweight, easily extensible, and the community, while small, is active and engaged. The introductory documentation gives an example for a medical application using the Flask lightweight web framework. It's not a difficult exercise to use Elizabeth to populate a SQLite or other database you might need for development or testing. 'She spent her earliest years reading classic literature, and writing poetry.'
Here's some random text string generation, again in the interpreter: > from elizabeth import Text There are 18 different generator tools built into Elizabeth, and adding a new one is not at all difficult you just have to define the routines that get the data from a JSON collection of values. Using it in your code works just the same way-create an object, and then call the methods you want to fill in your data. Just for giggles, let's generate some random data on a person in the Python interactive interpreter: > from elizabeth import Personal
PYTHON RANDOM DATA GENERATOR INSTALL
Then pip install elizabeth, and you're ready to use it. You'll need to apt-get install python3-pip, which will install Python and needed dependencies. Installation requires Python 3.2 or higher, and you can either install it using pip, or from the git repository.įor my test drive, I installed with pip, on a fresh Debian Jessie box. Written by Líkið Geimfari, and licensed under the MIT license, Elizabeth has a set of 18 data providers in 21 different locales that you can use to generate random information, including names and personal characteristics, addresses, text data, transportation information, networking and Internet social media data, numbers, and much more.
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