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Mimesis is a high-performance synthetic data generator for Python, built to create realistic data in multiple languages. It supports schema-driven JSON generation and makes it easy to produce related, interlinked datasets. On average, Mimesis runs about 23× faster than Faker.

Mimesis: Synthetic Data Generatorpython, fake data, testing, pytest, relations, schema, dev
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Key features include support for 46 locales, a simple and well-documented API, industry-leading performance among Python data generators, diverse built-in providers, schema-based generation for complex data, and relational data with cross-schema references.

Mimesis: Synthetic Data Generatorpython, fake data, testing, pytest, relations, schema, dev
Mimesis is an easy to use library for Python, which helps generate mock data for a variety of purposes in a variety of languages.
Supported 33 languages and 22 different data providers for any targets.

MimesisA Python framework for generating mock data in any language.
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A.W.E.S.O.M. - OThe big list of the really interesting open source projects.

A.W.E.S.O.M. - OThe big list of the really interesting open source projects.
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Elizabeth is a fast and easy to use Python library for generating dummy data for a variety of purposes. This data can be particularly useful during software development and testing. For example, it could be used to populate a testing database for a web application with user information such as email addresses, usernames, first names, last names, etc. Elizabeth uses a JSON-based datastore and...

ElizabethFast and easy to use library for generating dummy data.

ElizabethFast and easy to use library for generating dummy data.
