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.
Dependencies
- python3.8+
- libmosquitto1
Installation
- pip install pymosquitto
TODO
- implement the remaining bindings
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/test_client.py.
Benchmarks
Receiving 1 million messages with QoS 0.
*The memory plots exclude the Python interpreter overhead (~10.2 MB).
Losers excluded:
benchmark.csv
Module;Time;RSS
pymosq;0:04.23;18552
pymosq_async;0:09.39;25004
paho;0:08.84;23544
gmqtt;0:03.97;24780
mqttools;0:06.49;27944
aiomqtt;0:53.48;578296
amqtt;1:02.94;756716
License
MIT
Project details
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