A Python 3 library for controlling stepper motors, DC motors, and servos with a Raspberry Pi.
RpiMotorLib is a Python library that provides a unified interface for connecting and controlling various motor systems with a Raspberry Pi single-board computer. It simplifies hardware interaction by offering modular classes for different motor types, allowing makers and developers to integrate motor control into their projects with minimal code.
Makers, hobbyists, and developers building motor-controlled applications with Raspberry Pi, such as robotics, automation, or physical computing projects.
Developers choose RpiMotorLib for its extensive hardware support, modular design, and cross-model Raspberry Pi compatibility, including Pi 5, abstracting low-level GPIO complexities to focus on application logic.
A python 3 library to connect various motor systems to a Raspberry pi single board computer
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Supports a wide range of stepper, DC motor controllers, and servos with dedicated help files, as shown in the hardware tables—covering popular choices like ULN2003, A4988, and L298N.
Uses a GPIO abstraction layer with rpi-lgpio as the recommended backend, ensuring compatibility from Pi 1 to Pi 5, as highlighted in the installation notes for modern setups.
Allows importing only specific motor classes (stepper, DC, or servo) to keep projects lean, mentioned in the overview for focused usage.
Includes emergency stop push button support in all example scripts, with a dedicated class and documentation for enhanced project safety.
Requires choosing between extras like rpilgpio, legacy, and pigpio with strict warnings against mixing them, adding installation complexity and potential conflicts.
Servo control on Pi 5 relies solely on software PWM via rpi-lgpio, which the README admits can cause twitching and lacks the hardware timing precision of pigpio (unsupported on Pi 5).
Known bugs like the servo trace back error in rpi-lgpio depend on unmerged upstream fixes, affecting reliability without workarounds.
Running multiple stepper motors simultaneously necessitates threading, as noted in the issues section, adding complexity for basic parallel operations.