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mimesis

Mimesis: Fake Data Generator.

Worth itPyPI Software DevelopmentReleased Jul 20262.6M downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — mimesis-21.0.0-py3-none-any.whl
v21.0.0 · released 2026-07-16 · Python >=3.10

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.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.10 or later.
  • 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).

License · maintenance · safety

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

last release 2026-07-16 (29 days) · last repo commit 2026-08-05 · 4,840 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,602,524 downloads/mo, #2,973 on PyPI

Verify before relying

from mimesis import Person
from mimesis.locales import Locale

person = Person(Locale.EN)
print(person.full_name())
print(person.email(domains=['example.com']))
  • 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.
Same gist for agents: .md · .json

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 on this page. Verify before relying on it.

Worth it

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

mimesis on PyPI

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.

Requires Python 3.10 or later.

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']))

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

LicenseMIT permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependenciesNone
MaintenanceActively maintained 29 days since the last release
Last repo commit
First released
Downloads2,602,524 / month, #2,973 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPyTopic :: Software DevelopmentTopic :: Software Development :: TestingTopic :: Utilities

Evidence: mimesis-21.0.0-py3-none-any.whl

Tags

Capabilities
fake data generatortest data generationmock data for testingmultilingual dummy datafixture generation libraryrealistic sample datadatabase population toolAPI response mocking
Topics
test-data-generationmultilingualmock-data
PyPI keywords
datadatabasedataframedatascincedummyfactoryfactory_boyfakefakerfixturesgeneratemimesismockpandaspolarspopulatepytestschematesting

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See also essential-generators · Faker · fake-factory · jsf · pydantic-factories · pytest-faker · faker-e164 · faker-edu · streamlit-faker · lorem-text