Skip to main content

SQLAlchemy Faker is a provider for the Faker library that helps populate SQLAlchemh ORM models with dummy data. Creating a new instance of a model can be as simple as calling fake.sqlalchemy_model(SomeModel).

xxx

Installation

The recommend way to install SQLAlchemy Faker is with pip:

pip install faker_sqlalchemy

Example

Say you have some model declared using SQLAlchemy’s ORM.

>>> class SomeModel(Base):
...     __tablename__ = "some_model"
...
...     id = Column(Integer, primary_key=True)
...
...     value = Column(String)

And, you want to easily generate some data,

>>> from faker_sqlalchemy import SqlAlchemyProvider
>>>
>>> fake = Faker()
>>> fake.add_provider(SqlAlchemyProvider)
>>>
>>> instance = fake.sqlalchemy_model(SomeModel)

Use instance as desired.

>>> print(instance.value)
RNvnAvOpyEVAoNGnVZQU

Release files for faker_sqlalchemy 0.9.220807.post1554

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

Source distribution (sdist)

Source distribution for faker_sqlalchemy 0.9.220807.post1554
File Size Uploaded
faker_sqlalchemy-0.9.220807.post1554.tar.gz 9.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for faker_sqlalchemy 0.9.220807.post1554
File Interpreter ABI Platform
faker_sqlalchemy-0.9.220807.post1554-py3-none-any.whl Python 3 none any Details

Total release size: 14.7 kB

Release files / faker_sqlalchemy-0.9.220807.post1554.tar.gz

Download URL faker_sqlalchemy-0.9.220807.post1554.tar.gz
Size 9.1 kB
Tags Source
SHA-256 checksum
How to use checksums
9a7a1382669e7dcc17246332b0f2c8d1aebd246b67c6789818b2bc09a1b254e1
BLAKE2b-256 checksum
How to use checksums
160c5c8f88c310778616f7a35abff2b827bb7d2118c10c5f92d110008d5648c5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via python-requests/2.28.1

Release files / faker_sqlalchemy-0.9.220807.post1554-py3-none-any.whl

Download URL faker_sqlalchemy-0.9.220807.post1554-py3-none-any.whl
Size 5.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
85fa250c9a24307d3d97741d8d67a6a5eb97b9ba961b87647f9688de682d185d
BLAKE2b-256 checksum
How to use checksums
4971d86065f0611ffad6c8aff5d89f9c78db95e176346146696892c548e4b124
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via python-requests/2.28.1
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page