Open-source alternatives to Taskiq

Celery Periodic Tasks backed by the Django ORM

Celery result back end with django

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A Prometheus exporter for Celery metrics

A multiprocessing distributed task queue for Django based on Django-Q

Full featured redis cache backend for Django.

Grand Central Dispatch simplified with swift.

Flower is a monitoring and administration tool for Celery task queues. It provides a real-time web dashboard and a REST API to monitor distributed task clusters, manage worker instances, and observe message broker health. The project distinguishes itself by offering centralized control over the task lifecycle, allowing users to trigger, revoke, or terminate tasks and apply execution rate limits. It also includes a Prometheus metrics exporter to surface internal performance and status data for external monitoring and alerting systems. The tool covers a broad range of observability and managem

Flask-RQ is a Flask/Quart extension that background job execution using RQ. RQ allows queueing functions to be run in separate worker processes, allowing long-running jobs to run in the background without blocking the web app from returning a response quickly. Flask-RQ allows configuring…

A backport of Django's built in Tasks framework

A simple app that provides django integration for RQ (Redis Queue)

rq is a distributed task queue and background worker system for Python that uses a Redis backend to decouple task submission from execution. It functions as a reliable message queue and task scheduler, allowing Python functions or asyncio coroutines to be processed asynchronously across multiple worker processes. The project distinguishes itself through reliable queuing mechanisms that prevent job loss during worker crashes using atomic operations. It provides specialized orchestration capabilities, including the prevention of duplicate jobs, job execution prioritization, and the ability to m