How To Install Celeryd-multi On Debian, Ubuntu, Kali And Raspbian?
celeryd-multi
async task/job queue based on message passing (common files)
Install celeryd-multi
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Debian
apt-get install python-celery-commonClick to copy -
Ubuntu
apt-get install python-celery-commonClick to copy -
Kali Linux
apt-get install python-celery-commonClick to copy -
Raspbian
apt-get install python-celery-commonClick to copy
python-celery-common
async task/job queue based on message passing (common files)Celery is an open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on one or more worker nodes. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). Celery is written in Python, but the protocol can be implemented in any language. It can also operate with other languages using webhooks. The recommended message broker is RabbitMQ, but limited support for Redis, Beanstalk, MongoDB, CouchDB, and databases (using SQLAlchemy or the Django ORM) is also available. Celery is easy to integrate with Django, using the python-django-celery package. This package contains the common files of the library.
python-celery
async task/job queue based on message passing (Python2 version)Celery is an open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on one or more worker nodes. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). Celery is written in Python, but the protocol can be implemented in any language. It can also operate with other languages using webhooks. The recommended message broker is RabbitMQ, but limited support for Redis, Beanstalk, MongoDB, CouchDB, and databases (using SQLAlchemy or the Django ORM) is also available. Celery is easy to integrate with Django, using the python-django-celery package. This package contains the Python 2 version of the library.