Bee-Queue vs Celery
Bee-Queue
github.comCelery
docs.celeryq.devSide by side
| Figure | Bee-Queue | Celery |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · Task Queue Software | 7.6 (#24) | 8.1 (#11) |
| License | The repository includes an MIT license that grants permission to use, copy, modify, distribute, sublicense, and sell copies of the software. | Celery is open source and licensed under the New BSD License. |
| Purpose | Bee-Queue is a job/task queue for Node.js, backed by Redis. | Celery is a distributed task queue focused on real-time processing that also supports task scheduling. |
| Scheduling | Jobs can be scheduled to run after a specified time. | Celery Beat starts tasks at regular intervals for execution by available worker nodes. |
| Security | The repository's Security and quality navigation shows 0. | Celery advises treating it as an unsafe component and recommends restricting broker access; supported broker backends can use SSL encryption and authentication. |
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.