Metadata-Version: 2.1
Name: snowfakery
Version: 1.2
Summary: 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.
Home-page: https://github.com/SFDO-Tooling/Snowfakery
Author: Paul Prescod
Author-email: pprescod@salesforce.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: SQLAlchemy (>=1.3.19)
Requires-Dist: Faker (>=4.9.0)
Requires-Dist: jinja2 (>=2.11.2)
Requires-Dist: PyYAML (>=5.3.1)
Requires-Dist: click (>=7.1.2)
Requires-Dist: python-dateutil (>=2.8.1)

# 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](https://github.com/SFDO-Tooling/Snowfakery/blob/master/docs/index.md)


