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A simple and functional dependency injection toolkit for Python

Project description


A simple and functional dependency injection toolkit for Python.


PyDio aims to be simple, yet still powerful, allowing you to feed dependencies inside your application in a flexible way. PyDio design is based on simple assumption, that dependency injection can be achieved using simple key-to-function map, where key specifies type of object you want to inject and function is a factory function that creates instances of that type.

In PyDio, this is implemented using providers and injectors. You use providers to configure your key-to-function mapping, and then you use injectors to perform a lookup of a specific key and creation of the final object.

Here’s a simple example:

import abc

from pydio.api import Provider, Injector

provider = Provider()

def make_greet():
    return 'Hello, world!'

def main():
    injector = Injector(provider)
    greet_message = injector.inject('greet')

And if you now call main() function, then the output will be following:

Hello, world!

Key features

  • Support for any hashable keys: class objects, strings, ints etc.
  • Support for any type of object factories: function, coroutine, generator, asynchronous generator.
  • Automatic resource management via generator-based factories (similar to pytest’s fixtures)
  • Multiple environment support: testing, development, production etc.
  • Limiting created object’s lifetime to user-defined scopes: global, application, use-case etc.
  • No singletons used, so there is no global state…
  • …but you still can create global injector on your own if you need it :-)


You can install PyDio using one of following methods:

  1. From PyPI (for stable releases):

    $ pip install PyDio
  2. From test PyPI (for stable and development releases):

    $ pip install -i PyDio
  3. Directly from source code repository (for all releases):

    $ pip install git+[branch-or-tag]


You have two options available:

  1. Visit PyDio’s ReadTheDocs site
  2. Take a tour around functional tests


This project is released under the terms of the MIT license.

See LICENSE.txt for more details.


Maciej Wiatrzyk <>

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