Celery vs Procrastinate
Celery
docs.celeryq.devProcrastinate
procrastinate.readthedocs.ioSide by side
| Figure | Celery | Procrastinate |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Task Queue Software | 8.1 (#11) | 7.7 (#22) |
| Monitoring | Celery provides commands to inspect and manage worker nodes and documents monitoring tools including Flower and event utilities. | The command-line interface provides health checks, and its interactive shell can inspect and administer jobs, tasks, queues, and locks. |
| Purpose | Celery is a distributed task queue focused on real-time processing that also supports task scheduling. | Procrastinate is an open-source distributed task processing library for Python that uses PostgreSQL to store task definitions, manage locks, and dispatch tasks. |
| Scheduling | Celery Beat starts tasks at regular intervals for execution by available worker nodes. | Jobs can be scheduled to run once in the future or after a specified delay, and tasks can also be launched periodically. |
| Windows support | The project says Windows is not officially supported, although it may work. | Procrastinate is manually tested and known to work on Windows, but its documentation advises using a Unix-like system in production because workers may stop abruptly and Windows has no automated tests. |
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.
Procrastinate
Procrastinate has no write-up on Specifiction yet; its figures are above.