litestar 2.0.0b4

Litestar - A production-ready, highly performant, extensible ASGI API Framework

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Starlite → Litestar

Starlite has been renamed to Litestar

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Litestar is a powerful, performant, flexible and opinionated ASGI framework, offering first class typing support.

Check out the documentation 📚.

Installation

pip install litestar

Litestar 2.0 is coming out soon, bringing many new features and improvements. You can check out the latest pre-release version by instead running

pip install litestar==2.0.0beta3

Quick Start

from litestar import Litestar, get


@get("/")
def hello_world() -> dict[str, str]:
    """Keeping the tradition alive with hello world."""
    return {"hello": "world"}


app = Litestar(route_handlers=[hello_world])

Core Features

• Class based controllers
• Dependency Injection
• Layered Middleware
• Plugin System
• OpenAPI 3.1 schema generation
• Life Cycle Hooks
• Route Guards based Authorization
• Support for dataclasses, TypedDict, pydantic version 1 and version 2, msgspec and attrs
• Layered Parameter declaration
• Extended testing support
• Automatic API documentation with:
  • Redoc
  • Stoplight Elements
  • Swagger-UI
• Trio support (built-in, via AnyIO)
• Ultra-fast validation, serialization and deserialization using msgspec
• SQLAlchemy Support
• Piccolo ORM Support

Example Applications

• starlite-pg-redis-docker: In addition to Litestar, this demonstrates a pattern of application modularity, SQLAlchemy 2.0 ORM, Redis cache connectivity, and more. Like all Litestar projects, this application is open to contributions, big and small.
• litestar-hello-world: A bare-minimum application setup. Great for testing and POC work.

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.

JSON Benchmarks

Plaintext Benchmarks

Features

Class Based Controllers

While supporting function based route handlers, Litestar also supports and promotes python OOP using class based controllers:

from typing import List, Optional
from datetime import datetime

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:
        ...

Data Parsing, Type Hints and Pydantic

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 absolutely 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 DTOFactory class, which also supports the use of plugins.

OpenAPI

Litestar has custom logic to generate OpenAPI 3.1.0 schema, include optional generation of examples using the polyfactory library.

ReDoc, Swagger-UI and Stoplight Elements API Documentation

Litestar serves the documentation from the generated OpenAPI schema with:

• ReDoc
• Swagger-UI
• Stoplight Elements

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.

from litestar import Litestar, get
from litestar.di import Provide


async def my_dependency() -> str:
    ...


@get("/")
async def index(injected: str) -> str:
    return injected


app = Litestar([index], dependencies={"injected": Provide(my_dependency)})

Middleware

Litestar supports typical ASGI middleware and ships with middlewares to handle things such as

• CORS
• CSRF
• Rate limiting
• GZip and Brotli compression
• Client- and server-side sessions

Route Guards

Litestar has an authorization mechanism called guards, 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.

from litestar import Litestar, get

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

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.