aiorabbit
flower
| aiorabbit | flower | |
|---|---|---|
| 1 | 3 | |
| 21 | 6,197 | |
| - | - | |
| 6.0 | 5.6 | |
| 9 months ago | 19 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
aiorabbit
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A short introduction to RabbitMQ
At least include an example of how one can use RabbitMQ with Python. Something like aiorabbit.
flower
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Scaling Celery to handle workflows and multiple queues
Use flower to monitor workers and tasks.
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Python Celery - high level overview(animated video)
Not sure what your criteria for good observability ist, but flower served me well enough for this in the last couple of years.
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Wondering if I should use Celery vs threads for what I want to do
From experience i would not use threads for this or any background jobs. I would use Celery or Flask-RQ2 to be your workers, you will also probably end up using them to run other tasks as you encounter the need for other jobs. They both use Redis as a broker and job store and you can use Redis for other things like caching and so many other useful features. I kind of like RQ2 more then Celery because its a little simpler but Celery has a lot more to offer, more features. RQ2 has rq-dashboard for monitoring jobs and Celery has Flower.
What are some alternatives?
bunny-storm - RabbitMQ asynchronous connector library for Python with built in RPC support
django-suit - Modern theme for Django admin interface
faststream - FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.
django-jet - Modern responsive template for the Django admin interface with improved functionality. We are proud to announce completely new Jet. Please check out Live Demo
nextcord-ext-menus - A nextcord menu and pagination extension that makes working with reaction menus and button component menus a bit easier
Celery-Kubernetes-Operator - An operator to manage celery clusters on Kubernetes (Work in Progress)
pika - Pure Python RabbitMQ/AMQP 0-9-1 client library
flask-admin - Simple and extensible administrative interface framework for Flask
amqpstorm - Thread-safe Python RabbitMQ Client & Management library
rq-dashboard - Flask-based web front-end for monitoring RQ queues
strawberry - A GraphQL library for Python that leverages type annotations 🍓
django-celery-results - Celery result back end with django