Computer graphics programming for everyone

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As a language embedded in Python, Taichi has a Python-style syntax which is extremely easy to learn. Research shows Taichi programs are 10x shorter compared to equivalent C++/CUDA code while achieving higher performance.


Without any code modification, a Taichi program can run on various platforms, including x64 & ARM CPUs, GPUs, web browsers and smartphones. Taichi supports Windows, Linux, and OS X.


Taichi's Just-In-Time compiler offloads compute-intensive tasks to multi-core CPUs and massively parallel GPUs. The Taichi language design allows effective performance optimizations by the Taichi compiler.


This docsite is still under construction 🚧 and the content is subject to change. For detailed instructions, especially the API docs of Taichi and the Chinese version of the Taichi documentation, please visit our old documentation site on Read the Docs (opens new window) and 中文文档 (opens new window)

# Hello, Taichi!

Taichi can be easily installed via pip:

python3 -m pip install taichi

(Please make sure you are using 64-bit Python 3.6/3.7/3.8.)

Download fractal.py (opens new window) and run it with

python3 fractal.py

You will see the animation below:



# fractal.py
import taichi as ti


n = 320
pixels = ti.field(dtype=float, shape=(n * 2, n))

def complex_sqr(z):
    return ti.Vector([z[0]**2 - z[1]**2, z[1] * z[0] * 2])

def paint(t: float):
    for i, j in pixels: # Automatically parallelized
        c = ti.Vector([-0.8, ti.cos(t) * 0.2])
        z = ti.Vector([i / n - 1, j / n - 0.5]) * 2
        iterations = 0
        while z.norm() < 20 and iterations < 50:
            z = complex_sqr(z) + c
            iterations += 1
        pixels[i, j] = 1 - iterations * 0.02

gui = ti.GUI("Julia Set", res=(n * 2, n))

for i in range(1000000):
    paint(i * 0.03)