Pydantricks

Faker for pydantic models.

Start simple

>>> from pydantic import BaseModel
>>> from pydantricks import FieldFactory, ModelFactory
>>>
>>>
>>> class User(BaseModel):
...     username: str
...
>>>
>>> class UserFactory(ModelFactory[User]):
...     username = FieldFactory.field.user_name
...
>>> UserFactory()
User(username='qmiller')
>>> UserFactory()
User(username='harrisamanda')
>>> UserFactory()
User(username='jamesamy')

pydantricks support composed models as well.

Metadata

Release files for pydantricks 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pydantricks 0.1.1
File	Size	Uploaded
pydantricks-0.1.1.tar.gz	4.3 kB	Jan 25, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for pydantricks 0.1.1
File	Interpreter	ABI	Platform	Reset
pydantricks-0.1.1-py3-none-any.whl 5.7 kB Jan 25, 2026	Python 3	none	any	Details

Total release size: 10.0 kB

Release files / pydantricks-0.1.1.tar.gz

Download URL	pydantricks-0.1.1.tar.gz
Size	4.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`f7362eeebcc7a6503db790d3fb579a118c6d04e02bfd59b9ad00a9f98d96b92c`
BLAKE2b-256 checksum How to use checksums	`9539d3f3126e971ac92419d42be2bd4aa63779f6ece5f6d128ee95805c9f62de`
Upload date	Jan 25, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`pdm/2.26.6 CPython/3.12.12 Linux/6.11.0-1018-azure`

Release files / pydantricks-0.1.1-py3-none-any.whl

Download URL	pydantricks-0.1.1-py3-none-any.whl
Size	5.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`e8a36a2115a2de2057b94a8f35d6d1f9109d5d119ed7cafa896af6787b18f1e0`
BLAKE2b-256 checksum How to use checksums	`e3b4ecfa3a04b261e826fbd54445ffb619134aba089253926f10b5948c941799`
Upload date	Jan 25, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`pdm/2.26.6 CPython/3.12.12 Linux/6.11.0-1018-azure`