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

Project description

PyMosquitto

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

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

  • aio.AsyncClient - async interface to libmosquitto loop running in its own thread. It's a little bit faster, supposedly more reliable, but consumes a little bit more memory.
  • aio.TrueAsyncClient - manages all events in asyncio loop by utilizing mosquitto_loop_read, mosquitto_loop_write, mosquitto_loop_misc functions.

Dependencies

  • python3.8+
  • libmosquitto1

Installation

  • pip install pymosquitto

TODO

  • add v5 support

Usage

from pymosquitto import Client


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


client = Client()
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 AsyncClient


async def main():
    async with AsyncClient() 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 (~10.2 MB).

benchmark-results

Losers excluded:

benchmark-results-fast

benchmark.csv

Module;Time;RSS
pymosq;0:04.20;18144
pymosq_async;0:07.36;25604
pymosq_true_async;0:10.01;24896
paho;0:08.94;23472
gmqtt;0:04.40;24768
mqttools;0:06.20;27664
aiomqtt;0:54.12;577624
amqtt;1:04.37;745276

License

MIT

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