.. image:: https://docs.celeryq.dev/en/latest/_images/celery-banner-small.png

:Version: 5.6.2 (recovery) :Web: https://docs.celeryq.dev/en/stable/index.html :Download: https://pypi.org/project/celery/ :Source: https://github.com/celery/celery/ :DeepWiki: |deepwiki| :Keywords: task, queue, job, async, rabbitmq, amqp, redis, python, distributed, actors

Donations

Open Collective

.. image:: https://opencollective.com/static/images/opencollectivelogo-footer-n.svg :alt: Open Collective logo :width: 200px

Open Collective <https://opencollective.com/celery>_ is our community-powered funding platform that fuels Celery's ongoing development. Your sponsorship directly supports improvements, maintenance, and innovative features that keep Celery robust and reliable.

For enterprise

Available as part of the Tidelift Subscription.

The maintainers of celery and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source dependencies you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact dependencies you use. Learn more. <https://tidelift.com/subscription/pkg/pypi-celery?utm_source=pypi-celery&utm_medium=referral&utm_campaign=enterprise&utm_term=repo>_

What's a Task Queue?

Task queues are used as a mechanism to distribute work across threads or machines.

A task queue's input is a unit of work, called a task, dedicated worker processes then constantly monitor the queue for new work to perform.

Celery communicates via messages, usually using a broker to mediate between clients and workers. To initiate a task a client puts a message on the queue, the broker then delivers the message to a worker.

A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling.

Celery is written in Python, but the protocol can be implemented in any language. In addition to Python there's node-celery_ for Node.js, a PHP client, gocelery, gopher-celery_ for Go, and rusty-celery_ for Rust.

Language interoperability can also be achieved by using webhooks in such a way that the client enqueues an URL to be requested by a worker.

.. _node-celery: https://github.com/mher/node-celery .. _PHP client: https://github.com/gjedeer/celery-php .. _gocelery: https://github.com/gocelery/gocelery .. _gopher-celery: https://github.com/marselester/gopher-celery .. _rusty-celery: https://github.com/rusty-celery/rusty-celery

What do I need?

Celery version 5.6.x runs on:

Python (3.9, 3.10, 3.11, 3.12, 3.13)
PyPy3.9+ (v7.3.12+)

This is the last version of Celery which will support Python 3.9. Celery v5.7.x will work on Python 3.10 or newer versions.

If you're running an older version of Python, you need to be running an older version of Celery:

Python 3.8: Celery 5.5 or earlier.
Python 3.7: Celery 5.2 or earlier.
Python 3.6: Celery 5.1 or earlier.
Python 2.7: Celery 4.x series.
Python 2.6: Celery series 3.1 or earlier.
Python 2.5: Celery series 3.0 or earlier.
Python 2.4: Celery series 2.2 or earlier.

Celery is a project with minimal funding, so we don't support Microsoft Windows but it should be working. Please don't open any issues related to that platform.

Celery is usually used with a message broker to send and receive messages. The RabbitMQ, Redis transports are feature complete, but there's also experimental support for a myriad of other solutions, including using SQLite for local development.

Celery can run on a single machine, on multiple machines, or even across datacenters.

Get Started

If this is the first time you're trying to use Celery, or you're new to Celery v5.6.x coming from previous versions then you should read our getting started tutorials:

First steps with Celery_

Tutorial teaching you the bare minimum needed to get started with Celery.
Next steps_

A more complete overview, showing more features.

.. _First steps with Celery: https://docs.celeryq.dev/en/stable/getting-started/first-steps-with-celery.html

.. _Next steps: https://docs.celeryq.dev/en/stable/getting-started/next-steps.html

You can also get started with Celery by using a hosted broker transport CloudAMQP. The largest hosting provider of RabbitMQ is a proud sponsor of Celery.

Celery is...

Simple

Celery is easy to use and maintain, and does not need configuration files.

It has an active, friendly community you can talk to for support, like at our mailing-list_, or the IRC channel.

Here's one of the simplest applications you can make:

.. code-block:: python
```
  from celery import Celery

  app = Celery('hello', broker='amqp://guest@localhost//')

  @app.task
  def hello():
      return 'hello world'
```
Highly Available

Workers and clients will automatically retry in the event of connection loss or failure, and some brokers support HA in way of Primary/Primary or Primary/Replica replication.
Fast

A single Celery process can process millions of tasks a minute, with sub-millisecond round-trip latency (using RabbitMQ, py-librabbitmq, and optimized settings).
Flexible

Almost every part of Celery can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers, broker transports, and much more.

It supports...

- **Message Transports**

    - RabbitMQ_, Redis_, Amazon SQS, Google Pub/Sub

- **Concurrency**

    - Prefork, Eventlet_, gevent_, single threaded (``solo``)

- **Result Stores**

    - AMQP, Redis
    - memcached
    - SQLAlchemy, Django ORM
    - Apache Cassandra, IronCache, Elasticsearch
    - Google Cloud Storage

- **Serialization**

    - *pickle*, *json*, *yaml*, *msgpack*.
    - *zlib*, *bzip2* compression.
    - Cryptographic message signing.

.. _Eventlet: http://eventlet.net/ .. _gevent: http://gevent.org/

.. _RabbitMQ: https://rabbitmq.com .. _Redis: https://redis.io .. _SQLAlchemy: http://sqlalchemy.org

Framework Integration

Celery is easy to integrate with web frameworks, some of which even have integration packages:

+--------------------+------------------------+
| `Django`_          | not needed             |
+--------------------+------------------------+
| `Pyramid`_         | `pyramid_celery`_      |
+--------------------+------------------------+
| `Pylons`_          | `celery-pylons`_       |
+--------------------+------------------------+
| `Flask`_           | not needed             |
+--------------------+------------------------+
| `web2py`_          | `web2py-celery`_       |
+--------------------+------------------------+
| `Tornado`_         | `tornado-celery`_      |
+--------------------+------------------------+
| `FastAPI`_         | not needed             |
+--------------------+------------------------+

The integration packages aren't strictly necessary, but they can make development easier, and sometimes they add important hooks like closing database connections at fork.

.. _Django: https://djangoproject.com/ .. _Pylons: http://pylonsproject.org/ .. _Flask: https://flask.palletsprojects.com/ .. _web2py: http://web2py.com/ .. _Bottle: https://bottlepy.org/ .. _Pyramid: https://docs.pylonsproject.org/projects/pyramid/en/latest/ .. _pyramid_celery: https://pypi.org/project/pyramid_celery/ .. _celery-pylons: https://pypi.org/project/celery-pylons/ .. _web2py-celery: https://code.google.com/p/web2py-c

Celery

Install / Use

README

Donations

Open Collective

For enterprise

Sponsors

Blacksmith

CloudAMQP

Upstash

Dragonfly