There are several options for lightweight distributed queue systems in Python. One popular choice is Celery, which is an open-source task queue system that is designed to be lightweight and easy to use. It can be used to distribute tasks across multiple workers, and it supports a variety of message brokers, including RabbitMQ and Redis, for handling the communication between the workers.
Another option is RQ, which is a simple, lightweight distributed queue system for Python. It is based on Redis and provides a clean, easy-to-use API for defining and enqueuing tasks, as well as for processing them in the background. It is suitable for a wide range of applications, including data processing, machine learning, and web applications.
Both Celery and RQ are widely used and well-supported, and they are good choices for lightweight distributed queue systems in Python.
