Create random data easier with pydatagen.

This script generates various types of fake data, such as names, addresses, phone numbers, coordinates, and more, using the Faker library. Users can select the data type and the quantity to generate. The generated data is saved to a JSON file

📖 Generates random data which contains names, phone numbers and emails this repository also generates Indian names, phones numbers.

A project that generates a dataset using various statistical distributions (Normal, Uniform, Exponential, Random Integers, and Binomial) and performs data analysis. Includes visualizations and an option to export the data as a CSV file.

This is a grocery store data generator for emulating batch and real-time POS transactions and sending them to either Azure Event Hubs or Apache Kafka (test with Azure HDInsight Kafka)

Random Test Data Generation using Faker

Pushing json structs from a log file dynamically read to a bridge. Random data generated with a gaussian distribution.

Python library for generating and concisely specifying reproducible pseudorandom binary data for unit testing.