There are several benefits when integrating MQTT with Python for real time data visualisations. MQTT has been specifically designed for low-bandwidth devices as a light-weight publishing/subscriber protocol. To create a real-time visualisation of IoT devices using the Python programming language, paho-mqtt is a library that can be used to subscribe to sensor devices and stream in real time the data from those sensor devices into visualisation tools such as Matplotlib and Plotly.

The way this workflow works is you connect to an MQTT broker, subscribe to the relevant sensor device topics, and when the broker receives an update it sends an update to the subscribers (your Python script) which in turn automatically updates the visualisation of the data points using either Matplotlib or Plotly.

MQTT (Message Queuing Telemetry Transport)

Therefore, with an integrated form of Python and MQTT, users are able to create an easily accessible Dashboard that displays live data which is much easier to monitor and debug.

Integrating MQTT with Python for Real-Time Data Visualization