# Buildsheet autogenerated by ravenadm tool -- Do not edit. NAMEBASE= python-celery VERSION= 5.6.2 KEYWORDS= python VARIANTS= v13 v14 SDESC[v13]= Distributed Task Queue (3.13) SDESC[v14]= Distributed Task Queue (3.14) HOMEPAGE= https://docs.celeryq.dev/ CONTACT= Python_Automaton[python@ironwolf.systems] DOWNLOAD_GROUPS= main SITES[main]= PYPIWHL/dd/bd/9ecd619e456ae4ba73b6583cc313f26152afae13e9a82ac4fe7f8856bfd1 DISTFILE[1]= celery-5.6.2-py3-none-any.whl:main DIST_SUBDIR= python-src DF_INDEX= 1 SPKGS[v13]= single SPKGS[v14]= single OPTIONS_AVAILABLE= PY313 PY314 OPTIONS_STANDARD= none VOPTS[v13]= PY313=ON PY314=OFF VOPTS[v14]= PY313=OFF PY314=ON USES= cpe DISTNAME= celery-5.6.2.dist-info CPE_PRODUCT= celery CPE_TARGET_SW= python CPE_VENDOR= celeryproject GENERATED= yes [PY313].RUN_DEPENDS_ON= python-billiard:single:v13 python-kombu:single:v13 python-vine:single:v13 python-click:single:v13 python-click-didyoumean:single:v13 python-click-repl:single:v13 python-click-plugins:single:v13 python-python-dateutil:single:v13 python-tzlocal:single:v13 [PY313].USES_ON= python:v13,wheel [PY314].RUN_DEPENDS_ON= python-billiard:single:v14 python-kombu:single:v14 python-vine:single:v14 python-click:single:v14 python-click-didyoumean:single:v14 python-click-repl:single:v14 python-click-plugins:single:v14 python-python-dateutil:single:v14 python-tzlocal:single:v14 [PY314].USES_ON= python:v14,wheel [FILE:1996:descriptions/desc.single] [Official Announcement] CloudAMQP --------- [CloudAMQP] is a industry leading RabbitMQ as a service provider. If you need highly available message queues, a perfect choice would be to use CloudAMQP. With 24,000+ running instances, CloudAMQP is the leading hosting provider of RabbitMQ, with customers all over the world. Upstash ------- [Upstash] offers a serverless Redis database service, providing a seamless solution for Celery users looking to leverage serverless architectures. Upstash's serverless Redis service is designed with an eventual consistency model and durable storage, facilitated through a multi-tier storage architecture. Dragonfly --------- [Dragonfly] is a drop-in Redis replacement that cuts costs and boosts performance. Designed to fully utilize the power of modern cloud hardware and deliver on the data demands of modern applications, Dragonfly frees developers from the limits of traditional in-memory data stores. 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. Backers ------- Thank you to all our backers! 🙏 [`Become a backer`_] :width: 125px [FILE:119:distinfo] 3ffafacbe056951b629c7abcf9064c4a2366de0bdfc9fdba421b97ebb68619a5 445502 python-src/celery-5.6.2-py3-none-any.whl