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✨ Features

  • 🧮 Finite Element Simulation: Provides tools for simulating deformable objects using tetrahedral and triangular meshes with support for various elasticity models;
  • 🔄 Differentiable Physics: Enables gradient-based optimization through automatic differentiation using JAX and Warp integration;
  • ⚡ Efficient Optimization: Implements advanced algorithms like Preconditioned Nonlinear Conjugate Gradient (PNCG) for real-time physics simulations;
  • 🎯 Elasticity Models: Features multiple material models including ARAP (As-Rigid-As-Possible) and active muscle simulation capabilities;
  • 📊 Meshing & Visualization: Integrates with PyVista for mesh processing and visualization, supporting both surface and volumetric meshes;
  • 🧩 Modular Design: Offers a clean architecture with separated components for energies, optimizers, and geometry handling;

📦 Installation

To install liblaf-apple, run the following command:

uv add liblaf-apple

⌨️ Local Development

You can use Github Codespaces for online development:

Or clone it for local development:

gh repo clone liblaf/apple
cd apple
mise run install

🤝 Contributing

Contributions of all types are more than welcome, if you are interested in contributing code, feel free to check out our GitHub Issues to get stuck in to show us what you're made of.

PR Welcome

Contributors

🔗 More Projects

  • 🍇 Grapes - Supercharge your Python with rich logging, precise timing, and seamless serialization.
  • 🍉 Melon - A comprehensive Python library for 3D mesh processing with advanced I/O capabilities, proximity analysis, and integration with external mesh processing tools.
  • 🍊 Tangerine - Squeeze dynamic content into your files with Tangerine's template magic.
  • 🍋‍🟩 Lime - AI-powered Git commit assistant and repository documentation generator
  • 🍎 Apple - A JAX and Warp library for differentiable physics simulation, featuring elastic energy models and finite element methods.
  • 🍒 Cherries - Sweet experiment tracking with Comet, DVC, and Git integration.

📝 License

Copyright © 2025 liblaf.
This project is MIT licensed.

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