Celery vs Resque
Celery
docs.celeryq.devResque
resque.github.ioSide by side
| Figure | Celery | Resque |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 0 |
| Spec score · Task Queue Software | 8.1 (#11) | 6.7 (#34) |
| License | Celery is open source and licensed under the New BSD License. | The project repository identifies Resque as MIT licensed. |
| Monitoring | Celery provides commands to inspect and manage worker nodes and documents monitoring tools including Flower and event utilities. | Resque includes a Sinatra front end for monitoring queues, jobs, workers, usage statistics, and failures. |
| Purpose | Celery is a distributed task queue focused on real-time processing that also supports task scheduling. | Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later. |
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.