A parametric 3D generator for spheres, capsules, and containers. Featuring "Deep Root" threaded connections, Snap-Latch hinges, and Smart Breakaway Supports.

App Icon

1. Download the installer (Balls_Generator_Setup.exe) from the Releases section.
2. Run the installer.
3. It will check for Docker Desktop. If you don't have it, it will prompt you to download it.
4. Double-click the BALLS! Generator icon on your desktop.

1. Install Docker Desktop.
2. Download and unzip the source code.
3. Mac Users (First Time Setup):
   • Because this was packaged on Windows, you must give the script permission to run.
   • Open Terminal, type chmod +x (note the space), drag launch_mac.command into the window, and hit Enter.
   • Now you can Right-click launch_mac.command -> Open.
4. Linux Users: Run sh run_mac_linux.sh in the terminal.

If you are a developer and prefer running without Docker:

pip install -r requirements.txt
python run_app.py

• Hinge V7: Butterfly bridge with outer-surface "Finger & Wedge" latch for reliable print-in-place articulation.
• Threads V15: Deep-embed logic guarantees solid boolean intersection, preventing "floating thread" printing errors.
• Smart Supports: Triangular contact points ensuring stability during printing but clean breakaway removal.
• Pattern Engine: Generates high-resolution 2D patterns (Hex, Circle, Spade) and mathematically folds them onto a sphere.

This project stands on the shoulders of giants. A huge thank you to the creators and maintainers of these open-source libraries:

• Streamlit : The fastest way to build data apps in Python. Used for the entire user interface and visualization.
• Trimesh : A pure Python library for loading and constructing 3D meshes. Used for all 3D geometry manipulation, constructive solid geometry (CSG), and export.
• Shapely : Manipulation and analysis of geometric objects in the Cartesian plane. Used for generating the high-precision 2D pattern sheets before folding.
• Mapbox Earcut : Fast polygon triangulation. Used to convert the 2D Shapely patterns into meshable surfaces.
• NumPy : The fundamental package for scientific computing with Python.
• Plotly : Used for the interactive 3D preview within the app.

This project is licensed under the MIT License - see the LICENSE file for details. Basically: You are free to use, modify, and distribute this software, provided you include the original copyright and license notice (Attribution).

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