# sipeed/MaixPy-v1

MicroPython for K210 RISC-V, let's play with edge AI easier

Repository: https://github.com/sipeed/MaixPy-v1
Canonical: https://ross.abutalabs.com/products/maixpy-v1
Homepage: https://wiki.sipeed.com/maixpy
Language: Python
License: NOASSERTION
License Family: other
Topics: maixpy, k210, aiot, micropython, edge-ai, riscv, firmware
Last push: 2024-06-17T07:52:31+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2868, "days_push": 807, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1712, forks 455 (observed 2026-08-28T04:05:25.864230+00:00)

## What it is
MaixPy-v1 is a MicroPython port for the Kendryte K210 RISC-V AI chip, letting users program Sipeed Maix boards in Python. It provides APIs for camera capture, LCD display, I2C/SPI/GPIO peripherals, and on-device AI model inference with hardware acceleration.

## Use cases
- run machine learning models on a K210 board with Python
- capture camera images and display them on an LCD with MicroPython
- build an edge AI vision project like face or object detection
- scan I2C devices and control peripherals from Python on embedded hardware
- prototype AIoT applications on Sipeed Maix Bit or Maix Dock boards
- flash custom MicroPython firmware for RISC-V K210 chips

## When to choose
- you have a Sipeed Maix board with a K210 chip and want Python-based development
- you need on-device AI inference with hardware acceleration on a microcontroller
- you want quick prototyping of computer vision projects on embedded hardware

## When to avoid
- you are using newer Sipeed hardware like MaixCAM or Maix-II, which use MaixPy v4 or MaixPy3 instead
- you need a general-purpose Linux SBC environment rather than a microcontroller firmware
- you require the latest features or active development, since this v1 codebase is in maintenance

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, computer-vision, embedded, interpreter, sdk
- domain: embedded-systems, machine-learning, computer-vision, iot, hardware
- platform: embedded, iot, python
- tags: micropython, k210, risc-v, edge-ai, firmware, sipeed, maix, aiot

## Member repositories
- sipeed/MaixPy-v1 (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:25.864230+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:34:53.390741+00:00, confidence not recorded.
  - readme: https://github.com/sipeed/MaixPy-v1 (fetched 2026-08-28T04:05:25.864230+00:00, sha 3efa573c9a34)
  - homepage: https://wiki.sipeed.com/maixpy (fetched 2026-08-29T11:10:56.493783+00:00, sha b3d97ddea226)
  - site_page: https://wiki.sipeed.com/faq.html (fetched 2026-08-29T11:10:56.503213+00:00, sha 7b62ad0b2356)
- Data as of 2026-08-30T08:39:29.467469+00:00.