Some more featured DI python libraries¶

FastDepend is a very small toolkit to achieve one point: provide you with opportunity to use FastAPI Depends and typecasting everywhere.

Sometimes, more complex tools are required. In these cases I can recommend you to take a look at the following projects

Dishka¶

Cute DI framework with scopes and agreeable API.

This library provides IoC container that’s genuinely useful. If you’re exhausted from endlessly passing objects just to create other objects, only to have those objects create even more — you’re not alone, and we have a solution. Not every project requires IoC container, but take a look at what we offer.

Unlike other tools, dishka focuses only on dependency injection without trying to solve unrelated tasks. It keeps DI in place without cluttering your code with global variables and scattered specifiers.

Key features:

• Scopes. Any object can have a lifespan for the entire app, a single request, or even more fractionally. Many frameworks either lack scopes completely or offer only two. Here, you can define as many scopes as needed.
• Finalization. Some dependencies, like database connections, need not only to be created but also carefully released. Many frameworks lack this essential feature.
• Modular providers. Instead of creating many separate functions or one large class, you can split factories into smaller classes for easier reuse.
• Clean dependencies. You don’t need to add custom markers to dependency code just to make it visible to the library.
• Simple API. Only a few objects are needed to start using the library.
• Framework integrations. Popular frameworks are supported out of the box. You can simply extend it for your needs.

Speed. The library is fast enough that performance is not a concern. In fact, it outperforms many alternatives.

DI¶

di is a modern dependency injection toolkit, modeled around the simplicity of FastAPI's dependency injection.

Key features:

• Intuitive: simple API, inspired by FastAPI
• Auto-wiring: di also supports auto-wiring using type annotations
• Scopes: inspired by pytest scopes, but defined by users
• Composable: decoupled internal APIs give you the flixibility to customize wiring, execution and binding.
• Performance: di can execute dependencies in parallel and cache results ins scopes.

Dependency Injector¶

Dependency Injector is a dependency injection framework for Python.

It helps implementing the dependency injection principle.

Key features:

• Providers
• Overriding on the fly
• Configuration (yaml, ini, json, pydantic, .env, etc)
• Resources
• Containers
• Wiring
• Asynchronous
• Typing
• Performance
• Maturity