Micropython env for Sipeed Maix boards https://maixpy.sipeed.com
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<img src="https://travis-ci.org/sipeed/MaixPy.svg?branch=master" alt="Master branch build status" />

<img src="https://img.shields.io/badge/build-master-ff69b4.svg" alt="master build firmware" />

<img src="https://img.shields.io/github/release/sipeed/maixpy.svg" alt="Latest release version" />

<img src="https://img.shields.io/badge/license-Apache%20v2.0-orange.svg" alt="License" />

<img src="https://img.shields.io/github/issues/sipeed/maixpy/good%20first%20issue.svg" alt="Good first issues" />

<img src="https://img.shields.io/github/issues/sipeed/maixpy/bug.svg" alt="Bug issues" />

<img src="https://img.shields.io/github/issues/sipeed/maixpy/enhancement.svg" alt="Enhancement issues" />


Let’s Sipeed up, Maximize AI’s power!

MaixPy, makes AIOT easier!

Maixpy is designed to make AIOT programming easier, based on the Micropython syntax, running on a very powerful embedded AIOT chip K210.

K210 brief:

  • Image Recognition with hardware acceleration
  • Dual core with FPU
  • 8MB(6MB+2MB) RAM
  • 16MB external Flash
  • Max 800MHz CPU freq (see the dev board in detail)
  • Microphone array(8 mics)
  • Hardware AES SHA256
  • FPIOA (Periphrals can map to any pins)
  • Peripherals: I2C, SPI, I2S, WDT, TIMER, RTC, UART, GPIO etc.

Simple code

Find I2C devices:

from machine import I2C

i2c = I2C(I2C.I2C0, freq=100000, scl=28, sda=29)
devices = i2c.scan()

Take picture:

import sensor
import image
import lcd

while True:


See Releases page

Get latest commit firmware: master firmware


Doc refer to maixpy.sipeed.com



Build From Source

See build doc

The historic version see historic branch (No longer maintained, just keep commit history)


See LICENSE file

Other: As C SDK for C developers

In addition to the source code of the MaixPy project, since MaixPy exists as a component, it can be configured to not participate in compilation, so this repository can also be developed as C SDK. For the usage details, see Building Documentation, which can be started by compiling and downloading projects/hello_world.

The compilation process is briefly as follows:

wget http://dl.cdn.sipeed.com/kendryte-toolchain-ubuntu-amd64-8.2.0-20190409.tar.xz
sudo tar -Jxvf kendryte-toolchain-ubuntu-amd64-8.2.0-20190409.tar.xz -C /opt
cd projects/hello_world
python3 project.py menuconfig
python3 project.py build
python3 project.py flash -B dan -b 1500000 -p /dev/ttyUSB0 -t