Celery vs Dramatiq
Celery
docs.celeryq.devDramatiq
dramatiq.ioSide by side
| Figure | Celery | Dramatiq |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Windows | — | Yes |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 0 |
| Spec score · Task Queue Software | 8.1 (#11) | 7.7 (#20) |
| Purpose | Celery is a distributed task queue focused on real-time processing that also supports task scheduling. | Dramatiq is a background task processing library for Python focused on simplicity, reliability and performance. |
| Scheduling | Celery Beat starts tasks at regular intervals for execution by available worker nodes. | Actors can schedule messages for later using a delay; the guide says scheduled messages should be a small subset of all messages because the broker is not a database. |
Plans
In their own words
Celery
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.