---
id: faker
version: "40.36.0"
license: MIT License
license_treatment: permissive
maintenance: active
---

# Faker — Faker is a Python package that generates fake data for you.

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install faker
uv add faker
poetry add faker

## Description

*Faker* is a Python package that generates fake data for you. Whether
you need to bootstrap your database, create good-looking XML documents,
fill-in your persistence to stress test it, or anonymize data taken from
a production service, Faker is for you.

Faker is heavily inspired by `PHP Faker`_, `Perl Faker`_, and by `Ruby Faker`_.

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Compatibility
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Starting from version ``4.0.0``, ``Faker`` dropped support for Python 2 and from version ``5.0.0``
only supports Python 3.8 and above. If you still need Python 2 compatibility, please install version ``3.0.1`` in the
meantime, and please consider updating your codebase to support Python 3 so you can enjoy the
latest features ``Faker`` has to offer. Please see the `extended docs`_ for more details, especially
if you are upgrading from version ``2.0.4`` and below as there might be breaking changes.

This package was also previously called ``fake-factory``...

## AI interpretation — verify before relying

Faker generates realistic fake data across many categories—names, addresses, emails, dates, and more—for database bootstrapping, testing, anonymization, and stress-testing applications.

Verdict: Faker is a mature, actively maintained package (top_1000 tier on PyPI, zero known vulnerabilities) with low install friction and permissive licensing. It is well-suited for test data generation, database seeding, and anonymization tasks across Python 3.10+.

[View on SkillFed](https://skillfed.io/packages/faker) · [View on PyPI](https://pypi.org/project/faker/)