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A tool for generating fake data that has relations between tables.

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samanthashain/Snowfakery

 
 

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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.

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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.

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A tool for generating fake data that has relations between tables.

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  • Python 99.9%
  • Makefile 0.1%