Celery vs Django Q2

Celery is a free, open-source distributed task queue for real-time processing and scheduled jobs. It sends task messages through a broker to worker processes, and systems can run multiple workers and brokers for high availability and horizontal scaling. Celery Beat starts tasks at regular intervals for available workers. Documented transports include RabbitMQ, Redis, Amazon SQS, Kafka and Google Pub/Sub, with different capability labels: RabbitMQ and Redis are stable, SQS is stable without monitoring or remote control, and Kafka is experimental without those features. Integrations are documented for Django, Pyramid, Pylons, Flask, web2py, Tornado and FastAPI. Commands inspect and manage workers, while Flower and event utilities provide monitoring options. Celery 5.6 supports Python 3.9 through 3.13 and PyPy 3.9 or newer. It is self-hosted, installable via PyPI or source, and licensed under the New BSD License.

Django Q2 is a Django task queue, scheduler and worker application built around Python multiprocessing. It runs asynchronous tasks with worker pools and supports scheduled, cron and repeated jobs. For task workflows, it offers result hooks, groups and chains. A multi-cluster monitor and Django Admin integration provide monitoring options. Brokers include Redis, IronMQ, Amazon SQS, MongoDB and Django ORM; the project also lists Rollbar and Sentry support for error reporting. Signed and compressed packages are among its listed security features. The documentation says it is tested with Python 3.10 through 3.14 and works with Django 5.2, 6.0 and 6.1. It is self-hosted, with the README describing compatibility with PaaS deployment across multiple instances. The project is free, MIT-licensed software, installed with pip using the package name django-q2. Listed platforms are Linux, macOS, self-hosted and web. Disque support has been dropped.