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Litestar is a powerful, flexible yet opinionated ASGI framework, focused on building APIs. It offers high-performance data validation, dependency injection, first-class ORM integration, authorization primitives, a rich plugin API, middleware, and much more that's needed to get applications up and running.
Check out the documentation 📚 for a detailed overview of its features!
Additionally, the Litestar fullstack repository can give you a good impression how a fully fledged Litestar application may look.
Table of Contents
Installation
pip install litestar
or to include the CLI and a server (uvicorn) for running your application:
pip install 'litestar[standard]'
Quick Start
``python title="app.py"
from litestar import Litestar, get
@get("/") async def hello_world() -> dict[str, str]: """Keeping the tradition alive with hello world.""" return {"hello": "world"}
app = Litestar(route_handlers=[hello_world])
And run it withbash
litestar run
python title="my_app/controllers/user.py" from typing import List, Optional from datetime import datetime## Core Featuresdataclasses,TypedDict,msgspec, pydantic version 1 and version 2 (even within the same application) and (c)attrsLayered parameter declaration Support for RFC 9457 standardized "Problem Detail" error responses Automatic API documentation with: - Scalar - Redoc - Stoplight Elements - Swagger-UI
- Trio support (built-in, via AnyIO)
- Ultra-fast validation, serialization and deserialization using msgspec
- SQLAlchemy integration
Example Applications
<details> <summary>Pre-built Example Apps</summary>
for testing and POC work.
- litestar-hello-world: A bare-minimum application setup. Great
It features a Litestar app configured with best practices, SQLAlchemy 2.0 and SAQ, a frontend integrated with Vitejs and Jinja2 templates, Docker, and more. Like all Litestar projects, this application is open to contributions, big and small. </details>
- litestar-fullstack: A reference application that contains most of the boilerplate required for a web application.
Sponsors
Litestar is an open-source project, and we enjoy the support of our sponsors to help fund the exciting work we do.
A huge thanks to our sponsors:
[//]: # "Note to maintainers: Highest sponsors first; no more than 3 per row - create new div if needed"
<a href="https://github.com/scalar/scalar/?utm_source=litestar&utm_medium=website&utm_campaign=main-badge" target="_blank" title="Scalar.com - Document, Discover and Test APIs with Scalar."><img src="https://raw.githubusercontent.com/litestar-org/branding/main/assets/sponsors/scalar.svg" width="180" alt="Scalar.com"></a> <a href="https://telemetrysports.com/" title="Telemetry Sports - Changing the way data influences the sports experience"><img src="https://raw.githubusercontent.com/litestar-org/branding/main/assets/sponsors/telemetry-sports/unofficial-telemetry-whitebg.svg" width="150" alt="Telemetry Sports"></a>
<a href="https://docs.litestar.dev/latest/#sponsors" class="external-link" target="_blank">Check out our sponsors in the docs</a>
If you would like to support the work that we do please consider [becoming a sponsor][sponsor-polar] via [Polar.sh][sponsor-polar] (preferred), [GitHub][sponsor-github] or [Open Collective][sponsor-oc].
Also, exclusively with [Polar][sponsor-polar], you can engage in pledge-based sponsorships.
[sponsor-github]: https://github.com/sponsors/litestar-org [sponsor-oc]: https://opencollective.com/litestar [sponsor-polar]: https://polar.sh/litestar-org
Features
Class-based Controllers
While supporting function-based route handlers, Litestar also supports and promotes python OOP using class based controllers:
<details> <summary>Example for class-based controllers</summary>
from litestar import Controller, get, post, put, patch, delete from litestar.dto import DTOData from pydantic import UUID4
from my_app.models import User, PartialUserDTO
class UserController(Controller): path = "/users"
@post() async def create_user(self, data: User) -> User: ...
@get() async def list_users(self) -> List[User]: ...
@get(path="/{date:int}") async def list_new_users(self, date: datetime) -> List[User]: ...
@patch(path="/{user_id:uuid}", dto=PartialUserDTO) async def partial_update_user( self, user_id: UUID4, data: DTOData[PartialUserDTO] ) -> User: ...
@put(path="/{user_id:uuid}") async def update_user(self, user_id: UUID4, data: User) -> User: ...
@get(path="/{user_name:str}") async def get_user_by_name(self, user_name: str) -> Optional[User]: ...
@get(path="/{user_id:uuid}") async def get_user(self, user_id: UUID4) -> User: ...
@delete(path="/{user_id:uuid}") async def delete_user(self, user_id: UUID4) -> None: ...
python from litestar import Litestar, get from litestar.di import Provide</details>DTOFactoryData Parsing, Type Hints, and Msgspec
Litestar is rigorously typed, and it enforces typing. For example, if you forget to type a return value for a route handler, an exception will be raised. The reason for this is that Litestar uses typing data to generate OpenAPI specs, as well as to validate and parse data. Thus, typing is essential to the framework.
Furthermore, Litestar allows extending its support using plugins.
Plugin System, ORM support, and DTOs
Litestar has a plugin system that allows the user to extend serialization/deserialization, OpenAPI generation, and other features.
It ships with a builtin plugin for SQL Alchemy, which allows the user to use SQLAlchemy declarative classes "natively" i.e., as type parameters that will be serialized/deserialized and to return them as values from route handlers.
Litestar also supports the programmatic creation of DTOs with a
class, which also supports the use of plugins.polyfactoryOpenAPI
Litestar has custom logic to generate OpenAPI 3.1.0 schema, include optional generation of examples using the
library.ReDoc, Swagger-UI and Stoplight Elements API Documentation
Litestar serves the documentation from the generated OpenAPI schema with:
All these are available and enabled by default.Dependency Injection
Litestar has a simple but powerful DI system inspired by pytest. You can define named dependencies - sync or async - at different levels of the application, and then selective use or overwrite them.
<details> <summary>Example for DI</summary>
async def my_dependency() -> str: ...
@get("/") async def index(injected: str) -> str: return injected
app = Litestar([index], dependencies={"injected": Provide(my_dependency)})
python from litestar import Litestar, get</details>guardsMiddleware
Litestar supports typical ASGI middleware and ships with middlewares to handle things such as
- CORS
- CSRF
- Rate limiting
- GZip, Brotli, and Zstd compression
- Client- and server-side sessions
Route Guards
Litestar has an authorization mechanism called
, which allows the user to define guard functions at different level of the application (app, router, controller etc.) and validate the request before hitting the route handler function.<details> <summary>Example for route guards</summary>
from litestar.connection import ASGIConnection from litestar.handlers.base import BaseRouteHandler from litestar.exceptions import NotAuthorizedException
async def is_authorized(connection: ASGIConnection, handler: BaseRouteHandler) -> None: # validate authorization # if not authorized, raise NotAuthorizedException raise NotAuthorizedException()
@get("/", guards=[is_authorized]) async def index() -> None: ...
app = Litestar([index])
`
Request Life Cycle Hooks
Litestar supports request life cycle hooks, similarly to Flask - i.e. before_request and after_request`
Performance
Litestar is fast. It is on par with, or significantly faster than comparable ASGI frameworks.
You can see and run the benchmarks here, or read more about it here in our documentation.
Contributing
Litestar is open to contributions big and small. You can always join our discord server or join our Matrix space to discuss contributions and project maintenance. For guidelines on how to contribute, please see the contribution guide.
Contributors ✨