Celery is an open source asynchronous task queue or job queue which is based on distributed message passing. While it supports scheduling, its focus is on operations in real time.[1]
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| Stable release | 5.3.4 / September 3, 2023; 10 months ago (2023-09-03) |
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| Repository | |
| Written in | Python |
| Platform | Cross-platform |
| Available in | Python |
| Type | Message-oriented middleware |
| License | BSD License |
| Website | docs |
The execution units, called tasks, are executed concurrently on one or more worker nodes using multiprocessing, eventlet[2] or gevent.[3] Tasks can execute asynchronously (in the background) or synchronously (wait until ready). Celery is used in production systems, for services such as Instagram, to process millions of tasks every day.[1]
Celery is written in Python, but the protocol can be implemented in any language. It can also operate with other languages using webhooks.[4] There is also a Ruby-Client called RCelery,[5]aPHP client,[6]aGo client,[7]aRust client,[8] and a Node.js client.[9]
The recommended message brokers are RabbitMQorRedis. In comparison with RabbitMQ, Redis represents a good start. However, if there is a valid reason and Redis is no longer meeting the requirements for the project, it is simple to switch to RabbitMQ. Additionally, MongoDB, Amazon SQS, CouchDB, IronMQ, and databases (using SQLAlchemy or the Django ORM) are supported in status experimental.[10]
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