Mimesis is a fast and easy to use library for Python programming language, which helps generate mock (dummy) data for a variety of purposes (see "Data providers") in a variety of languages (see "Locales"). This data can be particularly useful during software development and testing. The library was written with the use of tools from the standard Python library, and therefore, it does not have any side dependencies.

Advantages

Mimesis offers a number of advantages over other similar libraries, such as Faker:

• Performance. Mimesis is significantly faster than other similar libraries.
• Completeness. Mimesis strives to provide many detailed providers that offer a variety of data generators.
• Simplicity. Mimesis does not require any modules other than the Python standard library.

See here for an example of how we compare performance with other libraries.

Documentation

Mimesis is very simple to use, and the below examples should help you get started. Complete documentation for Mimesis is available on Read the Docs.

Installation

To install mimesis, simply:

➜  ~ pip install mimesis

Also you can install it manually:

(env) ➜  python3 setup.py install

Basic Usage

As we said above, this library is really easy to use:

>>> import mimesis
>>> person = mimesis.Personal(locale='en')

>>> person.full_name(gender='female')
'Antonetta Garrison'

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

>>> templates = ['U_d', 'U-d', 'l_d', 'l-d']
>>> for template in templates:
...     person.username(template=template)

'Adders_1893'
'Abdel-1888'
'constructor_1884'
'chegre-2051'

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:

>>> from mimesis import Personal

>>> de = Personal('de')
>>> ic = Personal('is')

>>> de.full_name()
'Sabrina Gutermuth'

>>> ic.full_name()
'Rósa Þórlindsdóttir'

Mimesis currently includes support for 33 different locales. See details for more information.

№	Flag	Code	Name	Native name
1	🇨🇿	cs	Czech	Česky
2	🇩🇰	da	Danish	Dansk
3	🇩🇪	de	German	Deutsch
4	🇦🇹	de-at	Austrian German	Deutsch
5	🇨🇭	de-ch	Swiss German	Deutsch
6	🇬🇷	el	Greek	Ελληνικά
7	🇺🇸	en	English	English
8	🇦🇺	en-au	Australian English	English
9	🇨🇦	en-ca	Canadian English	English
10	🇬🇧	en-gb	British English	English
11	🇪🇸	es	Spanish	Español
12	🇲🇽	es-mx	Mexican Spanish	Español
13	🇪🇪	et	Estonian	Eesti
14	🇮🇷	fa	Farsi	فارسی
15	🇫🇮	fi	Finnish	Suomi
16	🇫🇷	fr	French	Français
17	🇭🇺	hu	Hungarian	Magyar
18	🇮🇸	is	Icelandic	Íslenska
19	🇮🇹	it	Italian	Italiano
20	🇯🇵	ja	Japanese	日本語
21	🇰🇿	kk	Kazakh	Қазақша
22	🇰🇷	ko	Korean	한국어
23	🇳🇱	nl	Dutch	Nederlands
24	🇧🇪	nl-be	Belgium Dutch	Nederlands
25	🇳🇴	no	Norwegian	Norsk
26	🇵🇱	pl	Polish	Polski
27	🇵🇹	pt	Portuguese	Português
28	🇧🇷	pt-br	Brazilian Portuguese	Português Brasileiro
29	🇷🇺	ru	Russian	Русский
30	🇸🇪	sv	Swedish	Svenska
31	🇹🇷	tr	Turkish	Türkçe
32	🇺🇦	uk	Ukrainian	Український
33	🇨🇳	zh	Chinese	汉语

When you only need to generate data for a single locale, use the Generic() provider, and you can access all providers of Mimesis from one object.

>>> import mimesis
>>> g = mimesis.Generic('es')

>>> g.datetime.month()
'Agosto'

>>> g.food.fruit()
'Limón'

>>> g.internet.top_level_domain('GeoTLD')
'.moscow'

Data providers

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

№	Provider	Description
1	Address	Address data (street name, street suffix etc.)
2	Business	Business data (company, company_type, copyright etc.)
3	Code	Codes (ISBN, EAN, IMEI etc.).
4	ClothingSizes	Clothing sizes (international sizes, european etc.)
5	Datetime	Datetime (day_of_week, month, year etc.)
6	Development	Data for developers (version, programming language etc.)
7	File	File data (extension etc.)
8	Food	Information on food (vegetables, fruits, measurements etc.)
9	Games	Games data (game, score, pegi_rating etc.)
10	Personal	Personal data (name, surname, age, email etc.)
11	Text	Text data (sentence, title etc.)
12	Transport	Dummy data about transport (truck model, car etc.)
13	Science	Scientific data (scientist, math_formula etc.)
14	Structured	Structured data (html, css etc.)
15	Internet	Internet data (facebook, twitter etc.)
16	Hardware	The data about the hardware (resolution, cpu, graphics etc.)
17	Numbers	Numerical data (floats, primes, digit etc.)
18	Path	Provides methods and property for generate paths.
19	UnitSytem	Provides names of unit systems in international format
20	Generic	All at once
21	Cryptographic	Cryptographic data

Custom Providers

You also can add custom provider to Generic(), using add_provider() method:

>>> import mimesis
>>> generic = mimesis.Generic('en')

>>> class SomeProvider(object):
...     class Meta:
...         name = "some_provider"
...
...     def hello(self):
...         return "Hello!"

>>> class Another(object):
...     def bye(self):
...         return "Bye!"

>>> generic.add_provider(SomeProvider)
>>> generic.add_provider(Another)

>>> generic.some_provider.hello()
'Hello!'

>>> generic.another.bye()
'Bye!'

or multiple custom providers using method add_providers():

>>> generic.add_providers(SomeProvider, Another)

Too lazy to search for data? No problem, we found them for you and collected them here: mimesis-extra-data.

Builtins specific data providers

Some countries have data types specific to that country. For example social security numbers (SSN) in the United States of America (en), and cadastro de pessoas físicas (CPF) in Brazil (pt-br). If you would like to use these country-specific providers, then you must import them explicitly:

>>> from mimesis import Generic
>>> from mimesis.builtins import BrazilSpecProvider

>>> generic = Generic('pt-br')
>>> generic.add_provider(BrazilSpecProvider)
>>> generic.brazil_provider.cpf()
'696.441.186-00'

Integration with Web Application Frameworks

You can use Mimesis during development and testing of applications built on a variety of frameworks. Here is an example of integration with a Flask application:

class Patient(db.Model):
    id = db.Column(db.Integer, primary_key=True)
    full_name = db.Column(db.String(100))
    blood_type = db.Column(db.String(64))

    def __init__(self, **kwargs):
        super(Patient, self).__init__(**kwargs)

    @staticmethod
    def populate(count=500, locale=None):
        import mimesis

        person =  mimesis.Personal(locale=locale)

        for _ in range(count):
            patient = Patient(
                full_name=person.full_name('female'),
                blood_type=person.blood_type(),
            )

            db.session.add(patient)
            try:
                db.session.commit()
            except IntegrityError:
                db.session.rollback()

Just run shell mode and do following:

>>> Patient().populate(count=1000, locale='en')

Generate data by schema

Mimesis support generating data by schema:

>>> from mimesis.schema import Schema
>>> schema = Schema('en')

>>> schema.load(schema={
...     "id": "cryptographic.uuid",
...     "name": "text.word",
...     "version": "development.version",
...     "owner": {
...         "email": "personal.email",
...         "token": "cryptographic.token",
...         "creator": "personal.full_name"
...     }
... }).create(iterations=2)

>>> # or you can load data from json file:
>>> schema.load(path='schema.json').create(iterations=2)

Result:

[
  {
    "id": "790cce21-5f75-2652-2ee2-f9d90a26c43d",
    "name": "container",
    "owner": {
      "email": "anjelica8481@outlook.com",
      "token": "0bf924125640c46aad2a860f40ec4b7f33a516c497957abd70375c548ed56978",
      "creator": "Ileen Ellis"
    },
    "version": "4.11.6"
  },
  ...
]

Decorators

If your locale belongs to the family of Cyrillic languages, but you need latinized locale-specific data, then you can use special decorator which help you romanize your data. At this moment it's works only for Russian and Ukrainian:

>>> from mimesis.decorators import romanized

>>> @romanized('ru')
... def russian_name():
...     return 'Вероника Денисова'

>>> russian_name()
'Veronika Denisova'

Disclaimer

The authors assume no responsibility for how you use this library data generated by it. This library is designed only for developers with good intentions. Do not use the data generated with Mimesis for illegal purposes.

Contributing

Your contributions are always welcome! Please take a look at the contribution guidelines first. Here you can look at list of our contributors.

License

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