Clean Up Your Python Environment with Python Package Cleaner

Python Package Cleaner

If you’ve been coding in Python for a while, chances are your environment has become messy. Packages pile up, some are unused, and dependencies you once installed “just in case” are still sitting there. Over time, this clutter can cause:

• Slower installs and builds
• Dependency conflicts
• Larger Docker images
• Wasted disk space

That’s why I built Python Package Cleaner — a simple yet powerful script to help you keep your environment clean and lightweight.

💡 What is Python Package Cleaner?

Python Package Cleaner scans your environment, classifies installed packages, and gives you a clear view of what’s actually being used. It even helps you safely uninstall unused (orphaned) packages interactively.

Think of it as a Magic for your Python environment: if a package doesn’t spark joy (or usage), it’s time to let it go.

⚡ Features

• 📋 Lists all installed packages with version and usage details
• 🏷 Classifies packages as:
• System (do not remove)
• Required by another package
• Application (safe to uninstall if unused)
• 🗑 Detects orphaned packages (installed but not required by others)
• 💻 Interactive uninstall tool to remove:
• All orphaned packages at once
• Specific orphaned packages
• ⚙️ Automatically installs pipdeptree if missing
• 🖼 Displays results in a clean table with headers: Package, Version, Used By

▶️ Usage

Run the script:

python python_package_cleaner.py

Example flow:

Scanning installed packages...

Package      Version     Used By
--------------------------------
openai       1.102.0     -
pandas       2.3.2       -
pip          24.0        (system)
setuptools   65.5.1      (system)

Orphaned packages safe to uninstall:
- openai (1.102.0)
- pandas (2.3.2)

Do you want to uninstall any of these packages? (y/n):

• System packages like pip, setuptools, wheel are marked as do not remove.
• Required packages are protected to avoid breaking dependencies.

🚀 Why You’ll Love It

Python Package Cleaner makes it painless to:

• Save space by removing unused packages
• Reduce dependency conflicts
• Keep Docker images and venvs lean
• Maintain a professional, clean workflow

📦 Get Python Package Cleaner

You can grab it now from my Gumroad:

👉 Download Python Package Cleaner on Gumroad

https://techdynamo75.gumroad.com/l/pyclean

It’s simple, lightweight, and will save you countless headaches managing your Python environments.

✨ Final Thoughts

A clean environment is just as important as clean code. With Python Package Cleaner, you can:

✅ Stay organized ✅ Avoid dependency nightmares ✅ Focus on building awesome projects

Try it out today — your future self will thank you.

👉 Get Python Package Cleaner Here https://techdynamo75.gumroad.com/l/pyclean