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VarGen (Variation Generator) is a user-friendly desktop application designed to simplify the creation of product variations from CSV files.

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VarGen: CSV Variation Generator

VarGen (Variation Generator) is a user-friendly desktop application designed to simplify the creation of product variations from CSV files. Tailored for e-commerce platforms, inventory management, and any scenario requiring batch variation handling, VarGen stands out by automating the variation generation process, thereby saving valuable time and reducing manual errors.

Features

  • Easy CSV Processing: Import your CSV file, specify the column for variations, and let VarGen handle the rest.
  • Variation Group Codes: Automatically generates unique variation group codes for each product variation, facilitating easy tracking and management.
  • SKU Generation: Enhances inventory control by assigning a unique SKU to each variation.
  • Customizable Options: Allows customization of delimiter, SKU prefix, and variation increment value right within the application.
  • Intuitive Interface: Sleek and straightforward GUI, making it accessible for users of all technical levels.

Getting Started

To get started with VarGen, follow these simple steps:

  1. Launch the Application: Open VarGen on your desktop.
  2. Select Your CSV File: Click 'Browse' to select the CSV file you wish to process.
  3. Specify Variation Column: Enter the name of the column that contains the variation data (e.g., color, size).
  4. Process File: Click 'Process', and VarGen will generate a new CSV file with unique variation codes and SKUs.

Prerequisites

Before running VarGen, ensure you have the following installed:

  • Python 3.x
  • Tkinter library for Python
  • Hashlib library for Python
  • Built With
  • Python - The core programming language used.
  • Tkinter - Employed for the application's GUI.
  • CSV & Hashlib Libraries - For processing CSV files and generating hash-based codes.

About

VarGen (Variation Generator) is a user-friendly desktop application designed to simplify the creation of product variations from CSV files.

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