Add `fake.py` package to `Testing :: Object Factories` and `Testing :: Fake Data`
Add fake.py package to Testing :: Object Factories and Testing :: Fake Data.
What is this Python project?
fake.py is a standalone, portable library designed for generating various random data types for testing.
It offers a simplified, dependency-free alternative for creating random texts, (person) names, URLs, dates, file names, IPs, primitive Python data types (such as uuid, str, int, float, bool), GEO data such as city, country, geo-location, country code, latitude, longitude and locales, IBANs and ISBNs, as well as byte content for multiple file formats including PDF, DOCX, ODT, PNG, SVG, BMP, GIF, TIF, PPM, JPG, WAV, ZIP, TAR and EML.
The package also supports file creation on the filesystem and includes factories (dynamic fixtures) compatible with Django, TortoiseORM, Pydantic and SQLAlchemy (which means it works with SQLModel too).
What's the difference between this Python project and similar ones?
Primary competitors are Faker and Mimesis. fake.py does support file creation on the file system (also cleaning up), supports factories, and is fully portable: if you want to ship a zero-dependency package and need fake data + files + factories, you simply include a single file fake.py into your codebase, and you're good.
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