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 faster, but consumes a little bit more memory.aio.TrueAsyncClient- manages all events in asyncio loop by utilizingmosquitto_loop_{read,write,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 (~8.7 MB).
Losers excluded:
benchmark.csv
Module;Time;RSS
pymosq;0:04.63;18340
pymosq_async;0:07.35;25792
pymosq_true_async;0:09.59;24872
paho;0:08.77;23400
gmqtt;0:04.15;24680
mqttools;0:06.21;27872
aiomqtt;0:51.03;578184
amqtt;0:58.32;756508
License
MIT
Project details
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