Celery vs Taskiq
Celery
docs.celeryq.dev
Taskiq
taskiq-python.github.ioSide by side
| Figure | Celery | Taskiq |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 0 |
| Spec score · Task Queue Software | 8.1 (#11) | 7.2 (#32) |
| Broker integrations | Documented message transports include RabbitMQ, Redis, Amazon SQS, Kafka, and Google Pub/Sub. | Official broker integrations include RabbitMQ, Redis, NATS, SQS and Kafka. |
| License | Celery is open source and licensed under the New BSD License. | The project homepage identifies Taskiq as MIT licensed. |
| Purpose | Celery is a distributed task queue focused on real-time processing that also supports task scheduling. | Taskiq is a library for sending and processing Python functions in a distributed manner. |
| Scheduling | Celery Beat starts tasks at regular intervals for execution by available worker nodes. | Taskiq supports cron and time-based task scheduling through TaskiqScheduler and schedule sources. |
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.
Taskiq
Taskiq has no write-up on Specifiction yet; its figures are above.