Taichi (太极) is a programming language designed for high-performance computer graphics. It is deeply 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 and differentiable programming [examples].
Please check out our SIGGRAPH 2020 course for Taichi basics: YouTube, Bilibili, slides (pdf).
Examples (More...)
python3 -m pip install taichiSupported OS: Windows, Linux, Mac OS X; Python: 3.6/3.7/3.8 (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:
- Starting April 13 2020 (v0.5.12), we release the Python package
taichiinstead oftaichi-nightly. Now this PyPI package includes CPU, CUDA 10/11, Metal, and OpenGL support. - 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 | |
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- Taichi Conference: Taichi developer conferences.
- GAMES 201 Lectures: (Chinese) A hands-on tutorial on building advanced physics engines, based on Taichi.
- Gitee mirror of Taichi: For the convenience of Chinese contributors, clone from the mirror repo hosted on Gitee (码云).
- Taichi THREE: A 3D rendering library based on Taichi.
- Taichi GLSL: A Taichi extension library that provides a set of GLSL-style helper functions.
- Taichi Elements: A high-performance multi-material continuum physics engine based on Taichi (work in progress).
- Taichi.js: Run compiled Taichi programs in Javascript and WASM (work in progress).
- TaichiMD: Interactive, GPU-accelerated Molecular (& Macroscopic) Dynamics using Taichi, by Andrew Sun (victoriacity).
- LBM Taichi: A fluid solver based on the Lattice Boltzmann Method (LBM) using Taichi, by Zhuo Wang (hietwll).
- Shadertoy in Taichi: Some shadertoy examples implemented in Taichi, by Qiu Feng (Phonicavi).
- DiffTaichi: 10 differentiable physical simulators built with Taichi differentiable programming, by Yuanming Hu (yuanming-hu).
The Taichi project was created by Yuanming Hu (yuanming-hu). Significant contributions are made by:
- Ye Kuang (k-ye) (Apple Metal backend)
- 彭于斌 (archibate) (OpenGL Compute Shader backend)
- Mingkuan Xu (xumingkuan) (IR optimization & standardization)
Kenneth Lozes (KLozes) and Yu Fang (squarefk) have also made notable contributions.
[List of all contributors to Taichi]
The Simplified Chinese documentation (简体中文文档) was created by Ark (StephenArk30). Significant contributions are made by:
[List of all contributors to the Simplified Chinese documentation of Taichi]
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 our papers: