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.
Project description
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.
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
.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for snowfakery-3.4.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7648da8e5ccf04ffc54e145190c359d90beffe026a50596974d5642ede9fad1a |
|
MD5 | 3557e3b8a0fb2e1efe0aee8a589a7a41 |
|
BLAKE2b-256 | ecf6e3947fda25afe270c3ab742c2064a0da346b7ec7cf644d446d049b8c0009 |