A tiny generator of random data for golang, also known as a faker

A fake data generator written in and for Go

MockNeat - the modern faker lib.

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.

A library for Dart that generates fake data.

Mock any type members including static and non-virtual ones

Use faker cypher functions to generate demo and test data with cypher

Fast, concurrent fake data generator for any structure or type.

A .NET port of the Ruby faker gem

E2E, API and Visual Tests with Robot Framework, SeleniumLib, RequestsLib, EyesLib and FakerLib

tablefaker is a versatile Python package that enables effortless generation of realistic yet synthetic table data and save in CSV, Parquet, Delta Lake, Excel, Sql formats for various applications.

Run performance tests against an API using k6.

React-Fakers is a collection of dummy data for application development testing

Faker provider for Wi-Fi ESSIDs

Build Fake Data using FakerJS with a Fluent API

A javascript version of the Faker ruby gem

tblfaker is a Python library to generate fake tabular data.

A performance-focused & lightweight faker / data mocking library with comprehensive locale support.

A Laravel faker library to generate typical Nigeria fake data ranging from name, address, phone number, LGAs and states for you. It supports Yoruba, Igbo, and Hausa ethnic groups with culturally authentic data.

ProcessWire module for automatic generation of content when a field is blank

A Persian Faker for Persian-speaking Laravel developers.

faker 是一个数据填充工具

📋 Fake Dataset generated via Faker Python Library 📋

Create fake data for your complex model without too much configuration.

Apollo is a Python GUI application designed to simplify the complex process of generating random data based on fixed values. It allows users to generate various types of binary datasets, such as Yes/No type questions, by specifying probabilities.

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Bibliothèque en Turbo Pascal (ou Free Pascal) pour la simulation de données. Ainsi, il génère des fausses de données pour faire des tests par exemple.

Amazon Customer Lifetime Value (CLV) Analysis This project demonstrates an end-to-end analytics workflow for analyzing Customer Lifetime Value (CLV) using: Python – MySQL. Power BI . Azure (Azurite)

Parallel testing framework for API automation using pytest, allure, pytest-xdist

The repository contain laravel framework with integrated datatable ( yajra-datatable ) & it uses database custom seeder to seed/insert data into table. i have used a custom database seeder (UserSeeder) to seed data into user table & i have also used faker library for seeding fake data in table. This is just a basic example how you can use yajara-datatable & You can create Your own table seeder to insert fake/dummy data in table.