celery

Current Sponsors: 8
Past Sponsors: 27
Total Sponsors: 35
Minimum Sponsorship: $10.00

Distributed Programming framework for Python.

Funding Links: https://github.com/sponsors/celery

Name: Celery
Kind: organization
Followers: 256
Following: 0
Total stars: 32874
Repositories count: 27
Created at: 2022-11-02T16:22:52.965Z
Updated at: 2024-10-29T22:39:00.207Z
Last synced at: 2024-10-29T22:39:00.207Z

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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 and a PHP client.
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.