Skip to content


Switch branches/tags

Name already in use

A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?

Latest commit


Git stats


Failed to load latest commit information.
Latest commit message
Commit time


Scrutinizer Code Quality Code Coverage PyPI


Lagom is a dependency injection container designed to give you "just enough" help with building your dependencies. The intention is that almost all of your code doesn't know about or rely on lagom. Lagom will only be involved at the top level to pull everything together.


  • Type based auto wiring with zero configuration.
  • Fully based on types. Strong integration with mypy.
  • Minimal changes to existing code.
  • Integration with a few common web frameworks.
  • Support for async python.
  • Thread-safe at runtime

You can see a comparison to other frameworks here

πŸŽ‰ Version 2.0.0 is now released! πŸŽ‰

For users of python 3.7 and above this should require no changes. Full details can be found in the release notes upgrade instructions.


pip install lagom
# or: 
# pipenv install lagom
# poetry add lagom

Note: if you decide to clone from source then make sure you use the latest version tag. The master branch may contain features that will be removed.

For the versioning policy read here: SemVer in Lagom


Everything in Lagom is based on types. To create an object you pass the type to the container:

container = Container()
some_thing = container[SomeClass]

Auto-wiring (with zero configuration)

Most of the time Lagom doesn't need to be told how to build your classes. If the __init__ method has type hints then lagom will use these to inject the correct dependencies. The following will work without any special configuration:

class MyDataSource:
class SomeClass:
   #                        πŸ‘‡ type hint is used by lagom
   def __init__(datasource: MyDataSource):

container = Container()
some_thing = container[SomeClass] # An instance of SomeClass will be built with an instance of MyDataSource provided

and later if you extend your class no changes are needed to lagom:

class SomeClass:
    #                                                πŸ‘‡ This is the change.
    def __init__(datasource: MyDataSource, service: SomeFeatureProvider):

# Note the following code is unchanged
container = Container()
some_thing = container[SomeClass] # An instance of SomeClass will be built with an instance of MyDataSource provided


You can tell the container that something should be a singleton:

container[SomeExpensiveToCreateClass] = SomeExpensiveToCreateClass("up", "left")

Explicit build instructions when required

You can explicitly tell the container how to construct something by giving it a function:

container[SomeClass] = lambda: SomeClass("down", "spiral")

All of this is done without modifying any of your classes. This is one of the design goals of lagom.

Hooks in to existing systems

A decorator is provided to hook top level functions into the container.

def handle_move_post_request(request: typing.Dict, game: Game = lagom.injectable):
    # do something to the game
    return Response()

(There's also a few common framework integrations provided here)

Full docs here here


Contributions are very welcome. Please see instructions here