PyMosquitto

A lightweight Python MQTT client implemented as a thin wrapper around libmosquitto.

It provides an efficient synchronous client (client.Mosquitto) and two variants of asynchronous clients:

• aio.AsyncMosquitto - async interface to libmosquitto loop running in its own thread. It's faster, but consumes a little bit more memory.
• aio.TrueAsyncMosquitto - manages all events in asyncio loop by utilizing mosquitto_loop_{read,write,misc} functions.

Dependencies

• python3.8+
• libmosquitto1

Installation

• pip install pymosquitto

Usage

from pymosquitto import Mosquitto


def on_message(client, userdata, msg):
    print(msg)


client = Mosquitto()
client.on_connect = lambda *_: client.subscribe("#", 1)
client.on_message = on_message
client.connect_async("localhost", 1883)
client.loop_forever()

Async client example:

import asyncio

from pymosquitto.aio import AsyncMosquitto


async def main():
    async with AsyncMosquitto() as client:
        await client.connect("localhost", 1883)
        await client.subscribe("#", 1)
        async for msg in client.read_messages():
            print(msg)


asyncio.run(main())

Check out more examples in tests directory.

Benchmarks

Receiving one million messages with QoS 0.

*The memory plots exclude the Python interpreter overhead (~10.3 MB).

Losers excluded:

benchmark.csv

Module;Time;RSS
pymosq;0:04.84;18940
pymosq_async;0:08.06;25560
pymosq_true_async;0:10.78;25092
paho;0:09.07;23620
gmqtt;0:04.63;24740
mqttools;0:06.57;28068
aiomqtt;0:56.60;578380
amqtt;1:02.72;757084

License

MIT