A highly configurable MQTT message router, where the routing targets are notification plugins, primarily written in Python.

🚀 BunkerM: All-in-one Mosquitto MQTT management platform, featuring dynamic security, MQTT ACL management, monitoring, API and cloud integrations

A flexible data historian based on InfluxDB, Grafana, MQTT, and more. Free, open, simple.

Uses docker compose with a python flask microservice and MongoDB instance to make a sample application

An MQTT protocol basaed Chat-Server/Chat-System using Mosquitto Message Broker + MQTT Python Client(paho-mqtt) + Websockets(SockJS) + Async Python Server(Tornado)

GTM Stack: IoT Data Analytics at the Edge

Interface to relay PV inverter data from FusionSolar Northbound OpenAPI or Kiosk to InfluxDB/VictoriaMetrics, PVOutput.org, MQTT and Home Assistant

Python interface to control SBrick devices.

Experiments with ESP32, Wi-Fi resilience, global connectivity.

pytest-mqtt supports testing systems based on MQTT.

An opensource on-machine CMM (Coordinate Measuring Machine) system

This repository provides a comprehensive guide for controlling motors and sensors using Arduino, Raspberry Pi, and ESP boards. Step-by-step instructions, code samples, and detailed reports are included for each activity. Topics covered encompass serial communication, Python integration, GUI development, data storage, web accessibility, radio module

🍓 A smart, autonomous and scalable monitoring platform for your greenhouse

Ansible role to install and configure Mosquitto MQTT broker.

Gateway between Modbus and MQTT with support for multiple input sources and a rich set of configuration options for value conversion and topic configuration. Docker images are available for various architectures.

Simulating multiple AGVs (Automated Guided Vehicles) with VDA 5050 protocol, sending them orders, and visualizing their movement and status via MQTT.

🏡 My public Home Assistant configuration for inspiration. More info: www.home-assistant.io

An advanced Industrial IoT (IIoT) simulator for Smart Factory 4.0 environments using Python, MQTT, and Docker. Emulates configurable production lines with realistic sensor data (vibration, temperature, quality) and predictive alerts.

A lightweight and polyglot stream-processing library, to be used as a data backplane-, message relay-, or pipeline-subsystem.