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15.5K Stars 1.6K Forks MIT License 7.4K Commits 331 Opened issues


Parallel programming for everyone.

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Taichi (太极) is a parallel programming language for high-performance numerical computations. It is embedded in Python, and its just-in-time compiler offloads compute-intensive tasks to multi-core CPUs and massively parallel GPUs.

Advanced features of Taichi include spatially sparse computing, differentiable programming [examples], and quantized computation.

Please check out our SIGGRAPH 2020 course on Taichi basics: YouTube, Bilibili, slides (pdf).

中文视频教程: [哔哩哔哩], [幻灯片]

Examples (More...)

Installation Downloads

python3 -m pip install taichi

Supported OS: Windows, Linux, Mac OS X; Python: 3.6-3.9 (64-bit only); Backends: x64 CPUs, CUDA, Apple Metal, OpenGL Compute Shaders.

Please build from source for other configurations (e.g., your CPU is ARM, or you want to try out our experimental C backend).

Note: - The PyPI package supports x64 CPU, CUDA 10/11, Metal, and OpenGL Compute Shader backends. - On Ubuntu 19.04+, please

sudo apt install libtinfo5
. - On Windows, please install Microsoft Visual C++ Redistributable if you haven't. - [All releases]

|| Linux (CUDA) | OS X (10.14+) | Windows | Documentation| |:------|:-----|:-----|:-----|:-----| |Build|Build Status| Build Status | Build status| Netlify Status| |PyPI|Build Status|Build Status|Build status |

Developer Installation

Please follow this doc to learn how to build Taichi from source. Note that Taichi requires LLVM-10.0.0, and it is recommneded to use our prebuilt LLVM libraries for each platform.


Note: contributor avatars above are randomly shuffled.

We welcome feedback and comments. If you would like to contribute to Taichi, please check out our Contributor Guidelines.

If you use Taichi in your research, please cite related papers:



Please disclose security issues responsibly to [email protected]

1. TaichiZoo is still in its Beta version. If you've encountered any issue, please do not hesitate to file a bug.

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