Taichi is an open-source, embedded DSL within Python designed for high-performance numerical and physical simulations. It uses JIT compilation (via LLVM and its runtime TiRT) to offload compute-heavy code to CPUs, GPUs, mobile devices, and embedded systems. With built-in support for sparse data structures (SNode), automatic differentiation, AOT deployment, and compatibility with CUDA, Vulkan, Metal, and OpenGL ES, it empowers disciplines like simulation, graphics, AI, and robotics

Features

  • JIT-to-native-code execution on CPU/GPU via LLVM
  • SNode for hierarchical, spatially sparse data
  • Automatic differentiation (e.g. for robotics/optimization)
  • AOT + C/C++/C#/Java interface for native integration
  • Cross-backend deployment: CUDA, Vulkan, Metal, OpenGL ES
  • Portable to mobile & embedded via TiRT and WASM

Project Samples

Taichi Screenshot 1

Project Activity

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Categories

Graphics

License

Apache License V2.0

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Taichi Web Site

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

C++

Related Categories

C++ Graphics Software

Registered

2025-07-08
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