A lightweight, open-source wallpaper application that works both offline and online—no installation required.
- 🖼️ Browse beautiful wallpapers
- 🌐 Online wallpaper support
- 💾 Offline wallpaper collection included
- ⚡ Lightweight (~100 MB)
- 📦 Portable (No installation required)
- 🚀 Launch instantly
- 🔓 Fully Open Source
- 🪶 Minimal and clean interface
Add screenshots of the application here.
screenshots/
├── Home.png
├── Gallery.png
└── WallpaperPreview.png
Download the latest release from the Releases page.
No installation required.
Simply:
Extract AeroPaper.zip
↓
Open dist/
↓
Run AeroPaper.exe
That's it.
AeroPaper/
│
├── dist/
│ └── AeroPaper.exe
│
├── assets/
├── wallpapers/
├── source/
├── README.md
└── LICENSE
- Browse wallpapers from supported online sources.
- Internet connection required.
The application includes built-in wallpapers, allowing it to work even without an internet connection.
Perfect for travel or systems without internet access.
- Windows 10 / 11
- No Python installation required
- No additional dependencies required
| Item | Value |
|---|---|
| Application | AeroPaper |
| Type | Portable |
| Installation | ❌ Not Required |
| Size | ~100 MB |
| Platform | Windows |
| Open Source | ✅ |
- Python
- Pillow
- Requests
- Tkinter (or CustomTkinter if used)
Contributions are welcome!
You can help by:
- Fixing bugs
- Improving performance
- Adding wallpaper sources
- Improving the UI
- Updating documentation
Fork the repository, create your feature branch, and submit a Pull Request.
If you like AeroPaper, consider giving this repository a ⭐.
It helps the project grow and motivates future updates.
This project is licensed under the MIT License.
See the LICENSE file for details.
[Note : This Project was Made Using Loop Engineering and Vibe Coding]
[Note : Custom wallpaper feature is not yet supported , once access to the configuration will be added soon]
Made with ❤️ by AvgLucer
Warning
This repository is published solely for educational, learning, portfolio, and reference purposes.
You are welcome to:
- ✅ Study the source code
- ✅ Learn from the implementation
- ✅ Experiment and modify it for personal learning
- ✅ Build your own projects inspired by this work
However, you must NOT:
- ❌ Submit this repository (or a lightly modified version) as your own assignment or coursework.
- ❌ Present this project as your own work in any school, college, university, bootcamp, internship, hackathon, certification, or academic evaluation.
- ❌ Claim authorship of this project or any substantial portion of its implementation.
If this project helps you, the expected approach is to learn from it and create your own original implementation. Please respect academic integrity and the time invested in developing this project.