beanstalkd vs Celery
beanstalkd
beanstalkd.github.ioCelery
docs.celeryq.devSide by side
| Figure | beanstalkd | Celery |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Task Queue Software | 8.1 (#10) | 8.1 (#11) |
| Purpose | Beanstalk is a simple, fast work queue for running time-consuming tasks asynchronously. | Celery is a distributed task queue focused on real-time processing that also supports task scheduling. |
| Security | The project’s download page identifies the source release as MIT-licensed; the opened official pages make no security or compliance claims. | 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
beanstalkd
beanstalkd has no write-up on Specifiction yet; its figures are above.
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.