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.. _celery-installation:
Installation
============
You can install Celery either via the Python Package Index (PyPI)
or from source.
To install using :command:`pip`:
.. code-block:: console
$ pip install -U Celery
.. _bundles:
Bundles
-------
Celery also defines a group of bundles that can be used
to install Celery and the dependencies for a given feature.
You can specify these in your requirements or on the :command:`pip`
command-line by using brackets. Multiple bundles can be specified by
separating them by commas.
.. code-block:: console
$ pip install "celery[librabbitmq]"
$ pip install "celery[librabbitmq,redis,auth,msgpack]"
The following bundles are available:
Serializers
~~~~~~~~~~~
:``celery[auth]``:
for using the ``auth`` security serializer.
:``celery[msgpack]``:
for using the msgpack serializer.
:``celery[yaml]``:
for using the yaml serializer.
Concurrency
~~~~~~~~~~~
:``celery[eventlet]``:
for using the :pypi:`eventlet` pool.
:``celery[gevent]``:
for using the :pypi:`gevent` pool.
Transports and Backends
~~~~~~~~~~~~~~~~~~~~~~~
:``celery[librabbitmq]``:
for using the librabbitmq C library.
:``celery[redis]``:
for using Redis as a message transport or as a result backend.
:``celery[sqs]``:
for using Amazon SQS as a message transport (*experimental*).
:``celery[tblib]``:
for using the :setting:`task_remote_tracebacks` feature.
:``celery[memcache]``:
for using Memcached as a result backend (using :pypi:`pylibmc`)
:``celery[pymemcache]``:
for using Memcached as a result backend (pure-Python implementation).
:``celery[cassandra]``:
for using Apache Cassandra/Astra DB as a result backend with DataStax driver.
:``celery[couchbase]``:
for using Couchbase as a result backend.
:``celery[arangodb]``:
for using ArangoDB as a result backend.
:``celery[elasticsearch]``:
for using Elasticsearch as a result backend.
:``celery[riak]``:
for using Riak as a result backend.
:``celery[dynamodb]``:
for using AWS DynamoDB as a result backend.
:``celery[zookeeper]``:
for using Zookeeper as a message transport.
:``celery[sqlalchemy]``:
for using SQLAlchemy as a result backend (*supported*).
:``celery[pyro]``:
for using the Pyro4 message transport (*experimental*).
:``celery[slmq]``:
for using the SoftLayer Message Queue transport (*experimental*).
:``celery[consul]``:
for using the Consul.io Key/Value store as a message transport or result backend (*experimental*).
:``celery[django]``:
specifies the lowest version possible for Django support.
You should probably not use this in your requirements, it's here
for informational purposes only.
:``celery[gcs]``:
for using the Google Cloud Storage as a result backend (*experimental*).
:``celery[gcpubsub]``:
for using the Google Cloud Pub/Sub as a message transport (*experimental*)..
.. _celery-installing-from-source:
Downloading and installing from source
--------------------------------------
Download the latest version of Celery from PyPI:
https://pypi.org/project/celery/
You can install it by doing the following,:
.. code-block:: console
$ tar xvfz celery-0.0.0.tar.gz
$ cd celery-0.0.0
$ python setup.py build
# python setup.py install
The last command must be executed as a privileged user if
you aren't currently using a virtualenv.
.. _celery-installing-from-git:
Using the development version
-----------------------------
With pip
~~~~~~~~
The Celery development version also requires the development
versions of :pypi:`kombu`, :pypi:`amqp`, :pypi:`billiard`, and :pypi:`vine`.
You can install the latest snapshot of these using the following
pip commands:
.. code-block:: console
$ pip install https://github.com/celery/celery/zipball/main#egg=celery
$ pip install https://github.com/celery/billiard/zipball/main#egg=billiard
$ pip install https://github.com/celery/py-amqp/zipball/main#egg=amqp
$ pip install https://github.com/celery/kombu/zipball/main#egg=kombu
$ pip install https://github.com/celery/vine/zipball/main#egg=vine
With git
~~~~~~~~
Please see the :ref:`Contributing <contributing>` section.
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