micropython/micropython

MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems

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Summary Information

Updated 1 hour ago
Added to GitGenius on September 2nd, 2026
Created on December 20th, 2013
Open Issues & Pull Requests: 1,535 (+0)
GitHub issues: Enabled
Number of forks: 8,991
Total Stargazers: 22,110 (+0)
Total Subscribers: 703 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 11.4 hours
Mean response time: 137.5 days
90th percentile: 421.9 days
Tracked items: 1,725

How this project is maintained

About 16% of issues opened in the past year have never received a reply. 98% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 59% of tracked open issues have had no activity in three months. Only 55% of issues opened in the past year have been closed. Three people close 65% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 850
New in 7 days: 2
Closed in 7 days: 0
Avg open age: 1,273 days
Stale 30+ days: 834
Stale 90+ days: 684

Recent activity

Opened in 7 days: 2
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (864)
  • enhancement (383)
  • port-esp32 (361)
  • proposed-close (247)
  • port-rp2 (181)
  • needs-info (167)
  • py-core (118)
  • port-stm32 (112)

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Detailed Description

MicroPython is a lean and efficient Python implementation for microcontrollers and constrained systems.

MicroPython solves the problem of running Python code on resource-limited embedded devices where full CPython would be impractical. It achieves this by implementing a subset of Python 3 with a focus on minimal memory footprint and fast execution. The implementation compiles Python to bytecode and executes it on microcontroller hardware, allowing developers to write embedded code in Python rather than C or assembly while maintaining the performance characteristics necessary for real-time systems.

MicroPython suits developers working with microcontroller boards and embedded systems who want to leverage Python's readability and rapid development cycle without sacrificing the efficiency required by constrained hardware. It is particularly valuable for projects where the ability to iterate quickly and prototype interactively on the device itself matters more than absolute performance. The project works well for educational purposes, IoT applications, and embedded projects where the overhead of a full Python runtime would be prohibitive. Teams should choose it when they need a balance between the expressiveness of Python and the resource constraints of microcontroller environments.

The project maintains active development with regular commits addressing bug fixes, feature additions, and platform support improvements. The codebase shows consistent attention to performance optimization and memory efficiency across different microcontroller architectures. Development includes ongoing work to expand hardware platform support and improve compatibility with Python 3 standards. The project demonstrates sustained effort in maintaining documentation and examples that help users get started with embedded Python development.