Chunker - CSV File Splitter

A beautiful, minimal GUI application to split large CSV files into smaller chunks

Crafted by Fixare Studio - Experts in Rapid Digital Transformation

Chunker Application Interface

Powerful Features

Simple & Intuitive UI

User-friendly interface that makes file splitting a breeze for everyone.

Flexible Chunking

Split by number of rows or files with customizable settings.

Header Preservation

Automatically includes headers in all output files for better readability.

Progress Visualization

Real-time progress tracking with visual feedback.

Cross-Platform

Works on Windows, macOS, and Linux operating systems.

Stand-alone Executable

No installation required - just download and run.

Download Chunker

Source Code

For Python developers who want to run from source:

pip install tkinter
python splitter-v1.py
View on GitHub

Stand-alone Executables

"Ready-to-run versions for all major platforms Except macOS :)"

How to Use Chunker

1

Browse for CSV file

Click the 'Browse' button to select your large CSV file.

2

Adjust settings

Choose how you want to split your file (by rows or number of files).

3

Split CSV

Click 'Split' and watch the progress bar as your files are processed.

4

Find split files

Access your split files in the output directory you specified.

Built by Fixare Studio

At Fixare Studio, we specialize in transforming complex challenges into elegant, efficient solutions. Our team of expert engineers is dedicated to building tools that make data processing faster, easier, and more reliable.

Quality Without Compromise
Speed With Precision
Security First
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Technical Information

Requirements

  • Python 3.8+ (for source version)
  • 2GB RAM minimum (4GB recommended)
  • 100MB free disk space

Building Executables

For developers who want to build their own executables:

pip install pyinstaller
python -m PyInstaller --onefile --windowed --icon=assets/icon.ico --name="Chunker" --version-file=version.txt splitter-v1.py
                    

Contributing

We welcome contributions! Please read our contribution guidelines before submitting pull requests.