Snowfakery is a tool for generating fake data that has relations between tables. Every row is faked data, but also unique and random, like a snowflake.


License
MIT
Install
pip install snowfakery==3.6.2

Documentation

Coverage Status

Snowfakery Documentation

Snowfakery is a tool for generating fake data that has relations between tables. Every row is faked data, but also unique and random, like a snowflake.

To tell Snowfakery what data you want to generate, you need to write a Recipe file in YAML.

Snowfakery can write its output to stdout, or any database accessible to SQLAlchemy. When it is embedded in CumulusCI it can output to a Salesforce org. Adding new output formats is fairly straightforward and open source contributions of that form are gratefully accepted.

Documentation

Contributing

To contribute to snowfakery you will first need to setup a virtual environment. Once you have youre virtual environment, you can install dependencies via pip:

pip install -r requirements_dev.txt

Or you can install dependencies via pip tools:

make dev-install

Now you're all set for contributing to Snowfakery!

Updating Dependencies

Performing dependency updates is easy. Just run make update-deps and commit any changes to requirements/prod.txt and requirements/dev.txt.