Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.
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- fake
- data
- generator
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Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.
Minimalistic BDD-style assertions for Node.JS and the browser.
The Declarative Data Generator
GenFu is a library you can use to generate realistic test data. It is composed of several property fillers that can populate commonly named properties through reflection using an internal database of values or randomly created data. You can override any of the fillers, give GenFu hints on how to fill them.
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
Port of a popular ruby faker gem written in kotlin. Generate realistically looking fake data such as names, addresses, banking details, and many more, that can be used for testing and data anonymization purposes.
C++ Faker library for generating fake (but realistic) data.
A minimalist's unit testing framework ("classic" version)
Advanced, but minimalistic Next.js and Apollo starter
The Go test helper for minimalists
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
Laravel-style database seeder for Magento 2 / Mage-OS. Generate realistic products (all types), categories, customers, orders (all states), CMS pages, and reviews via bin/magento db:seed.
Utility to generate "realistically looking" traffic for Sitecore sites with configurable patterns
A powerful, database-agnostic seeding tool for generating realistic development data.
Light-weight data faker built in V to generate massive amounts of fake (but realistic) data for testing and development.
Generate realistic IoT test data and send it via MQTT, HTTP, or TCP.