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Overview

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 on Taichi basics: YouTube, Bilibili, slides (pdf).

中文视频教程: [哔哩哔哩], [幻灯片]

Examples (More...)

Installation

python3 -m pip install taichi

Supported 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:

• 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
PyPI

Links

• 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 Blend: Taichi Blender intergration for physics-based animations (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).

Developers

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:

• 彭于斌 (archibate)
• Danni Li (isdanni)
• Chengchen Wang (rexwangcc)
• 万健洲 (ArkhamWJZ)

[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:

• (SIGGRAPH Asia 2019) Taichi: High-Performance Computation on Sparse Data Structures [Video] [BibTex] [Code]
• (ICLR 2020) DiffTaichi: Differentiable Programming for Physical Simulation [Video] [BibTex] [Code]