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@ -17,8 +17,6 @@ Dependency Injector --- Dependency injection framework for Python
.. _index:
.. figure:: https://raw.githubusercontent.com/wiki/ets-labs/python-dependency-injector/img/logo.svg
.. image:: https://img.shields.io/pypi/v/dependency_injector.svg
:target: https://pypi.org/project/dependency-injector/
:alt: Latest Version
@ -63,27 +61,21 @@ Dependency Injector --- Dependency injection framework for Python
:target: https://coveralls.io/github/ets-labs/python-dependency-injector?branch=master
:alt: Coverage Status
What is ``Dependency Injector``?
================================
``Dependency Injector`` is a dependency injection framework for Python.
``Dependency Injector`` is a dependency injection microframework for Python.
It was designed to be a unified and developer-friendly tool that helps
implement a dependency injection design pattern in a formal, pretty, and
Pythonic way.
It helps you understand and change the structure of the application.
The key features of the *Dependency Injector* framework are:
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.
+ Easy, smart, and pythonic style.
+ Obvious and clear structure.
+ Extensibility and flexibility.
+ High performance.
+ Memory efficiency.
+ Thread safety.
+ Documented.
+ Semantically versioned.
.. figure:: https://raw.githubusercontent.com/wiki/ets-labs/python-dependency-injector/img/di-map.svg
:target: https://github.com/ets-labs/python-dependency-injector
*Dependency Injector* containers and providers are implemented as C extension
types using Cython.
*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
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