Fake Data Generator

Project Overview

This script generates and displays structured fake data using the Faker library, leveraging the rich library for a visually appealing tabular output. It is ideal for developers and testers needing placeholder data for testing applications or mockups.

Features

• Fake Data Generation: Uses the Faker library to generate realistic-looking fake data such as names, phone numbers, email addresses, credit card details, and more.
• Dynamic Data Output: Displays data in a styled table format with columns for various attributes.
• User Input: Prompts the user to specify the number of fake data entries to generate.
• Customizable Layout: Structured output with flexible formatting using the rich.table module.

Requirements

• Python 3.x
• Installed dependencies:
  • rich for rendering styled console output
  • faker for generating fake data

Install the required libraries using:

pip install rich faker

How It Works

Data Generation

• The Faker library creates fake values for fields like full name, date of birth, phone number, email, company, and more.

Table Creation

• The rich.table module is used to define a table structure, including column names and formatting.

User Input

• Prompts the user to enter the number of fake data records they want to generate.

Data Display

• Each generated data entry is added as a row in the table and printed to the console.

How to Use

1. Save the script in a .py file.

2. Run the script using:

   python script_name.py

3. Enter the number of fake data entries you need when prompted.

4. View the styled output in the console.

Notes

• Be cautious when using fake credit card data in demonstrations, as they are for mock purposes only and do not represent valid financial information.
• This script is designed for development and testing environments and should not be used in production without proper safeguards.

Demo Output