Skip to main content

Mimesis: fake data generator.

Project description

Mimesis - Fake Data Generator


https://raw.githubusercontent.com/lk-geimfari/mimesis/master/media/readme-logo.png

Description

Travi CI AppVeyor CI Documentation Status Code Coverage Package version Python version

Mimesis is a package for Python, which helps generate big volumes of fake data for a variety of purposes in a variety of languages. The fake data could be used to populate a testing database, create beautiful JSON and XML files, anonymize data taken from production and etc.

Installation

To install mimesis, simply use pip:

[env] ~ ⟩ pip install mimesis

Getting started

This library is really easy to use and everything you need is just import an object which represents a type of data you need (we call such object Provider).

In example below we import provider Person, which represents data related to personal information, such as name, surname, email and etc:

>>> from mimesis import Person
>>> person = Person('en')

>>> person.full_name()
'Antonetta Garrison'

>>> person.occupation()
'Backend Developer'

>>> person.telephone()
'1-408-855-5063'

More about the other providers you can read in our documentation.

Locales

Mimesis currently includes support for 33 different locales. You can specify a locale when creating providers and they will return data that is appropriate for the language or country associated with that locale.

Let’s take a look how it works:

>>> from mimesis import Person
>>> from mimesis.enums import Gender

>>> de = Person('de')
>>> en = Person('en')

>>> de.full_name(gender=Gender.FEMALE)
'Sabrina Gutermuth'

>>> en.full_name(gender=Gender.MALE)
'Layne Gallagher'

Providers

Mimesis support over twenty different data providers available, which can produce data related to people, food, computer hardware, transportation, addresses, and more.

See API Reference for more info.

Documentation

You can find the complete documentation on the Read the Docs.

It is divided into several sections:

You can improve it by sending pull requests to this repository.

How to Contribute

  1. Take a look at contributing guidelines.

  2. Check for open issues or open a fresh issue to start a discussion around a feature idea or a bug.

  3. Fork the repository on GitHub to start making your changes to the your_branch branch.

  4. Add yourself to the list of contributors.

  5. Send a pull request and bug the maintainer until it gets merged and published.

License

Mimesis is licensed under the MIT License. See LICENSE for more information.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mimesis-3.3.0.tar.gz (2.2 MB view details)

Uploaded Source

Built Distribution

mimesis-3.3.0-py3-none-any.whl (2.3 MB view details)

Uploaded Python 3

File details

Details for the file mimesis-3.3.0.tar.gz.

File metadata

  • Download URL: mimesis-3.3.0.tar.gz
  • Upload date:
  • Size: 2.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.6.3

File hashes

Hashes for mimesis-3.3.0.tar.gz
Algorithm Hash digest
SHA256 4b8fc414bd101109615fa8b6ad49f1811199e2745a4e9ef527193a4ab69637fc
MD5 bfe8f4cbbbe1c3f2f4bda198f98d5750
BLAKE2b-256 e5ed267379f02a01b60ef40cf36a9889ee300c54026ea2a2653cd246772b9441

See more details on using hashes here.

File details

Details for the file mimesis-3.3.0-py3-none-any.whl.

File metadata

  • Download URL: mimesis-3.3.0-py3-none-any.whl
  • Upload date:
  • Size: 2.3 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.6.3

File hashes

Hashes for mimesis-3.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 faf4eed0abea190e77257f1c8d9fc8278784bb0de889e365e3af462aa53f0416
MD5 46bee598c91569a26575a552a978fa89
BLAKE2b-256 c59e98b8893f1610c9c151fae47030d36cd092f574c12ca324353f44512e7ad9

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page