Celery 3.1.15

A Python-based distributed task queue system
It was initially created for Django, but is now pure Python-friendly.

Celery was designed to work with asynchronous task/job queues either in real-time or for scheduled operations.

Celery was tested and is being used in production environments to process millions of tasks per day.

Celery has also been tested with Python frameworks like Flask, Django, web2py, Pylons, Tornado and Pyramid.

Main features:

  • Fast operation
  • Workers and clients actively retry to reconnect when a connection is lost
  • Extendable code
  • Documentation and tutorials
  • Supported brokers:
  • RabbitMQ
  • Redis
  • Django ORM
  • Amazon SQS
  • MongoDB
  • Beanstalk
  • CouchDB
  • SQLAlchemy
  • Supported data stores:
  • SQLAlchemy
  • Django ORM
  • Apache Cassandra
  • AMQP
  • Redis
  • memcached
  • MongoDB
  • Supported serializers:
  • Pickle
  • JSON
  • YAML
  • msgpack
  • zlib or bzip2 compression

last updated on:
September 16th, 2014, 13:33 GMT
price:
FREE!
developed by:
Ask Solem
license type:
BSD License
operating system(s):
Windows / Linux / Mac OS / BSD / Solaris
category:
C: \ Development Tools \ Complete applications

FREE!

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2 Screenshots
Celery - Celery structureCelery - Worker structure
What's New in version 3.1
  • Prefork pool improvements
  • Django supported out of the box
  • Events are now ordered using logical time
  • New worker node name format (name@host)
read full changelog

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