Top Python Frameworks & Libraries for task queues
Mr. Queue - A distributed worker task queue in Python using Redis & gevent
Celery Once allows you to prevent multiple execution and queuing of celery tasks.
A simple distributed queue designed for handling one-off tasks with large sets of tasks
Minimal example utilizing fastapi and celery with RabbitMQ for task queue, Redis for celery backend and flower for monitoring the celery tasks....
Odoo generic connector framework (jobs queue, asynchronous tasks, channels)
Kale is a python task worker library that supports priority queues on Amazon SQS
Z task queue, a redis based async task queue for python. Moved to : http://github.com/easydo-cn/ztq/...
Fast, Safe & Simple Asynchronous Task Queues Written In Pure Python
Retask is a simple task queue implementation written for human beings. It provides generic solution to create and manage task queues....
A simple task queue implementation to enqeue jobs on local or remote processes.
[UNMAINTAINED] A task queue based on the elegant python RQ but with a django postgresql backend.
A distributed task queue built with asyncio and redis, with built-in web interface
Background task queue for Python backed by Redis, a super minimal Celery
Litestar Fullstack Reference Application with React, Vite, SQLAlchemy, Docker, Task Queues, and more!...
A simple async/await task queue for Django. One process, no threads, no other dependencies.