---
id: mimesis
version: "21.0.0"
license: MIT
license_treatment: permissive
maintenance: active
---

# mimesis — Mimesis: Fake Data Generator.

License: permissive · Maintenance: active · Downloads: 2.6M/mo

## What it is and what it does

Mimesis is a pure-Python library for generating realistic but fake data across many locales and data types. It has no runtime dependencies and installs as a single wheel, making it lightweight for development and testing workflows. The library provides a consistent API for generating names, addresses, emails, phone numbers, financial data, and other values in 47 different locales, with full type hints for editor autocompletion.

It is designed for populating test databases, mocking API responses, generating JSON or XML fixtures, creating sample datasets, and anonymizing production data. Beyond simple value generation, Mimesis supports schema-based data generation for complex structures and relational data generation with foreign keys and nested schemas, making it suitable for both simple mock data and sophisticated test-data pipelines.

Use it for:

- Populate test databases with realistic names, addresses, and contact information across multiple locales.
- Generate mock API responses and JSON fixtures for integration and contract testing.
- Create sample datasets for development without exposing real production data.
- Build factory_boy plugins to generate test objects with realistic field values.
- Anonymize production data by replacing sensitive information with generated fake equivalents.
- Generate relational test data with consistent foreign keys and nested structures.

## Worth the install?

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

Mimesis generates realistic fake data across 47 locales—names, addresses, emails, phone numbers, financial records, and more—for populating test databases, mocking APIs, and creating fixtures without external dependencies.

Yes. Mimesis is actively maintained, has no dependencies, supports modern Python versions, carries a permissive MIT license, and solves a common testing need with a mature API. It is well-suited for any project requiring realistic fake data for testing, mocking, or fixtures. No known security vulnerabilities.

## Install

pip install mimesis
uv add mimesis
poetry add mimesis

## Installing mimesis

Before you install: Low friction: pure Python wheel with no runtime dependencies. Active maintenance (last commit 2026-08-05, release 29 days ago) and strong community signal (4840 GitHub stars). Supports Python 3.10–3.14 and PyPy.

License in practice: MIT license (permissive) places no restrictions on use, modification, or distribution in commercial or private projects.

Quickstart:

from mimesis import Person
from mimesis.locales import Locale

person = Person(Locale.EN)
print(person.full_name())
print(person.email(domains=['example.com']))

Requires Python 3.10 or later.

Verify before relying:

- Whether the documented 47 locales and data providers remain current in version 21.0.0.
- Performance comparison claims ('fastest data generator among Python solutions') lack independent benchmarking in the fact sheet.

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 2.6M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

fake data generator, test data generation, mock data for testing, multilingual dummy data, fixture generation library, realistic sample data, database population tool, API response mocking, test-data-generation, multilingual, mock-data

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