kombu
pika
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kombu | pika | |
---|---|---|
2 | 1 | |
2,741 | 3,474 | |
1.0% | 1.2% | |
8.9 | 4.8 | |
8 days ago | 9 months ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
kombu
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Variables pool system
It is feasible and there are a number of ways to do it. There are a few issues, though, mainly how to make sure that you are accessing the latest data and not getting part of the data mid write. A database handles these issues pretty well, since generally they are meant to be an intermediary between different processes. Another solution, that is often more flexible, is a message queue, like this one: https://github.com/celery/kombu
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Messaging and Madness: Sending Messages with AMQP and Amazon MQ
Above I use the library Kombu to create some connections and send some stuff. I started by setting up our environment variables. Then created exchange and queue objects. Finally, I made our connection object and the producer object, and then we sent a simple “Hello” message.
pika
What are some alternatives?
celery - Distributed Task Queue (development branch)
amqpstorm - Thread-safe Python RabbitMQ Client & Management library
rq - Simple job queues for Python
aiorabbit - An AsyncIO RabbitMQ client for Python 3
huey - a little task queue for python
guane-intern-fastapi - FastAPI-PostgreSQL-Celery-RabbitMQ-Redis bakcend with Docker containerization
gevent - Coroutine-based concurrency library for Python
visual-chatbot - :cloud: :eyes: :speech_balloon: Visual Chatbot
rele - Easy to use Google Pub/Sub
flower - Real-time monitor and web admin for Celery distributed task queue
mrq - Mr. Queue - A distributed worker task queue in Python using Redis & gevent
sd-image-processor - A simple service to expose StableDiffusion via message queue