---
id: pytest-faker
version: "2.0.0"
license: MIT license
license_treatment: permissive
maintenance: abandoned
---

# pytest-faker — Faker integration with the pytest framework.

License: permissive · Maintenance: abandoned · Downloads: 88.5K/mo

## What it is and what it does

pytest-faker is a thin integration layer that exposes the Faker library as a pytest fixture, allowing test functions to receive a Faker generator instance by declaring a `faker` parameter. Instead of instantiating Faker manually in each test, you get it injected as a session-scoped fixture, simplifying the setup of fake data generation for testing.

The package has been unmaintained since its latest release on 2016-12-19 and carries no runtime dependencies beyond pytest and Faker themselves. Its age and lack of updates create significant uncertainty about compatibility with modern versions of either tool.

Use it for:

- Generate fake names, addresses, or email addresses in unit tests without manual Faker instantiation.
- Create consistent test data across multiple test functions using a shared session-scoped faker fixture.
- Reduce boilerplate in test files by relying on pytest's fixture injection instead of explicit Faker setup.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides pytest fixtures that integrate the Faker library for generating fake data in test functions.

No. The package is abandoned (latest release 2016-12-19, last commit 2020-05-14) with high install friction, making it risky. Faker likely now provides native pytest integration or the community has moved to maintained alternatives. Verify current Faker documentation before considering this package.

## Install

pip install pytest-faker
uv add pytest-faker
poetry add pytest-faker

## Installing pytest-faker

Before you install: High install friction and abandoned maintenance status. The package has not been updated since 2016-12-19, with the last repository commit in 2020-05-14. No active maintenance or security updates are expected.

License in practice: Licensed under MIT license, a permissive license that allows commercial and private use with minimal restrictions, making it safe from a licensing perspective.

Quickstart:

pip install pytest-faker

# In your test file:
def test_faker(faker):
    from faker.generator import Generator
    assert isinstance(faker, Generator)
    assert isinstance(faker.name(), str)

Requires pytest and Faker to be installed; compatibility with modern versions is unclear given the package's age and lack of maintenance.

Verify before relying:

- Whether the package works with current versions of pytest and Faker, given no updates since 2016-12-19.
- Whether the package is compatible with Python versions beyond 3.4, which was the latest listed in classifiers.
- Whether Faker itself now provides native pytest integration that supersedes this package.

## Package facts

- License: MIT license (permissive)
- Python support: unspecified
- Install friction: high
- Maintenance: abandoned
- Downloads: 88.5K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

pytest faker fixtures, fake data generation testing, pytest test data fixtures, faker pytest integration, generate mock data pytest, test fixtures fake names addresses, abandoned, test-fixtures

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