Cross-platform lib for process and system monitoring in Python
- python
- monitoring
- cpu
- memory
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Cross-platform lib for process and system monitoring in Python
Raspberry PI-TIMOLO ( PI-TImelapse, MOtion, LOwLight ) uses RPI picamera and OpenCV for Remote Headless Security Monitoring using Motion Tracking, Rclone Auto Sync files with remote storage services. Auto Twilight Transitions and Low Light Camera Settings. Panoramic images using PanTiltHat and More. This project is featured on GitHub Awesome software.
RAFCON (RMC advanced flow control) uses hierarchical state machines, featuring concurrent state execution, to represent robot programs. It ships with a graphical user interface supporting the creation of state machines and contains IDE like debugging mechanisms. Alternatively, state machines can programmatically be generated using RAFCON's API.
XAsyncSockets is an efficient Python/MicroPython library of managed asynchronous sockets.
The Raspberry Pi Telegram Bot is a lightweight, customizable bot built for Raspberry Pi users. It leverages Python and the Telegram Bot API to enable users to execute commands, receive updates, and automate processes from their Telegram account. Ideal for DIY projects, home automation, and remote control applications, this bot is easy to set up .
Classes to count pulses, debounce digital inputs, and calculate moving averages of analog inputs for a micropython board.
Nova DSO Tracker is an open-source Flask application for astrophotographers, providing real-time tracking of deep-sky objects' altitude, observability prediction, and integration with Stellarium and SIMBAD databases.
Classes for driving the DS18x20 sensor with the onewire protocol for Pycom MicroPython
A python daemon that uses the Twitter Streaming API to access tweets and republishes them to an MQTT topic.
Micropython code which uses the AWS-IOT REST API to GET/POST device state info
Teaches students Robot programming in python by having them create code that passes the unit tests
A structured, AI-assisted toolkit for defining hardware products that have software inside — from concept through engineering spec to presentation-ready materials in eight phases.
This project demonstrates how to interface the SHT11 sensor with a MicroPython-compatible ESP32 board (e.g., Lolin32 Lite) to measure temperature and relative humidity. It uses bit-banged communication and is written fully in MicroPython.