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Dependency Injector --- Dependency injection framework for Python
=================================================================

.. meta::
   :google-site-verification: V1hlKfpgL3AARAElwFcqP4qW1Smsx5bKSRU8O86i20Y
   :keywords: Python,Dependency injection,DI,Inversion of Control,IoC,
              IoC Container,Factory, Singleton, Design Patterns
   :description: Dependency Injector is a dependency injection framework
                 for Python. It helps to maintain you application structure.
                 It was designed to be unified, developer-friendly
                 tool that helps to implement dependency injection design 
                 pattern in formal, pretty, Pythonic way. Dependency Injector 
                 provides implementations of such popular design patterns 
                 like IoC container, Factory and Singleton. Dependency 
                 Injector providers are implemented as C extension types 
                 using Cython.

.. _index:

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``Dependency Injector`` is a dependency injection framework for Python.

It helps implementing the dependency injection principle.

Key features of the ``Dependency Injector``:

- **Providers**. Provides ``Factory``, ``Singleton``, ``Callable``, ``Coroutine``, ``Object``,
  ``List``, ``Configuration``, ``Dependency`` and ``Selector`` providers that help assembling your
  objects. See :ref:`providers`.
- **Overriding**. Can override any provider by another provider on the fly. This helps in testing
  and configuring dev / stage environment to replace API clients with stubs etc. See
  :ref:`provider-overriding`.
- **Configuration**. Read configuration from ``yaml`` & ``ini`` files, environment variables
  and dictionaries. See :ref:`configuration-provider`.
- **Containers**. Provides declarative and dynamic containers. See :ref:`containers`.
- **Performance**. Fast. Written in ``Cython``.
- **Typing**. Provides typing stubs, ``mypy``-friendly. See :ref:`provider-typing`.
- **Maturity**. Mature and production-ready. Well-tested, documented and supported.

.. code-block:: python

   from dependency_injector import containers, providers


   class Container(containers.DeclarativeContainer):

       config = providers.Configuration()

       api_client = providers.Singleton(
           ApiClient,
           api_key=config.api_key,
           timeout=config.timeout.as_int(),
       )

       service = providers.Factory(
           Service,
           api_client=api_client,
       )


   if __name__ == '__main__':
       container = Container()
       container.config.api_key.from_env('API_KEY')
       container.config.timeout.from_env('TIMEOUT')

       service = container.service()

With the ``Dependency Injector`` you keep **application structure in one place**.
This place is called **the container**. You use the container to manage all the components of the
application. All the component dependencies are defined explicitly. This provides the control on
the application structure. It is **easy to understand and change** it.

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*The container is like a map of your application. You always know what depends on what.*

Explore the documentation to know more about the ``Dependency Injector``.

.. _contents:

Contents
--------

..  toctree::
    :maxdepth: 2

    introduction/index
    examples/index
    tutorials/index
    providers/index
    containers/index
    examples-other/index
    api/index
    main/feedback
    main/changelog