# lk-geimfari/mimesis

Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.

Repository: https://github.com/lk-geimfari/mimesis
Canonical: https://ross.abutalabs.com/products/mimesis
Homepage: https://mimesis.name
Language: Python
License: MIT
License Family: permissive
Topics: mimesis, fake, data, generator, fixtures, dummy, schema, testing, python, json-generator, mock, synthetic-data, datascience, dataframe, pandas, syntetic, polars, factory, factory-boy, relational
Last push: 2026-08-23T20:25:19+00:00

## Health v2 (maintenance only)
Score: 89/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 69, longevity 100
- inputs: {"age_days": 3645, "days_push": 10, "days_rel": 48, "gap_med": 98.5, "n_releases_24m": 5}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4839, forks 361 (observed 2026-08-28T04:09:01.247549+00:00)

## What it is
Mimesis is a Python library for generating fake but realistic data across 47 locales, covering names, addresses, dates, financial data, and more. It supports schema-based and relational data generation, making it suitable for populating test databases, mocking APIs, and creating sample datasets.

## Use cases
- generate fake user data for tests
- populate a test database with realistic records
- mock API responses with dummy JSON
- create sample pandas or polars dataframes
- anonymize production data
- generate localized fake data in multiple languages
- build relational fixtures with foreign keys

## When to choose
- you need fast, multilingual fake data generation in Python
- you want schema-based or relational synthetic datasets
- you need typed APIs with good editor autocompletion
- you are replacing Faker for performance reasons

## When to avoid
- you need fake data in a language other than Python
- you need production-grade real data rather than synthetic data
- you require a plugin ecosystem as large as Faker's

## Facets
- artifact type: library
- maturity: stable
- function: data-generation, testing, mocking, serialization
- domain: developer-tools, testing, data-science
- platform: python, cross-platform
- tags: fake-data, faker-alternative, fixtures, synthetic-data, multilingual, locales, schema-based, pandas, polars, data-anonymization, automation

## Member repositories
- lk-geimfari/mimesis (main) score 89

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:01.247549+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:18:28.470927+00:00, confidence not recorded.
  - readme: https://github.com/lk-geimfari/mimesis (fetched 2026-08-28T04:09:01.247549+00:00, sha 9168c9db35ff)
  - registry_pypi: https://pypi.org/pypi/mimesis/json (fetched 2026-08-29T09:01:41.348279+00:00, sha 4bb1fea6a89c)
- Data as of 2026-08-30T08:39:29.467469+00:00.