dyne 2.0.3

A lightweight async Python web framework with batteries included.

A light weight Python async framework with batteries included

import dyne
from dyne.ext.auth import authenticate, BasicAuth
from dyne.ext.io.pydantic import input, output, expect
from dyne.ext.openapi import OpenAPI

app = dyne.App()

db = Alchemical(app)
api = OpenAPI(app)
basic_auth = BasicAuth()


@api.route("/book", methods=["POST"])
@authenticate(basic_auth, role="admin")
@input(BookCreateSchema, location="form")
@output(BookSchema, status_code=201)
@expect({401: "Unauthorized", 400: "Invalid file format"})
@db.transaction
async def create_book(req, resp, *, data):
    """
    Create a new Book
    ---
    This endpoint allows admins to upload a book cover and metadata.
    """

    image = data.pop("image")
    await image.asave(f"uploads/{image.filename}") # image is already validated for extension and size.


    book = await Book.create(**data, cover=image.filename)

    resp.obj = book

Dyne is a modern async framework for APIs and applications, featuring built-in authentication, validation & serialization (Pydantic & Marshmallow), automatic OpenAPI, GraphQL support (Strawberry & Graphene), and async SQLAlchemy integration via Alchemical all with minimal first class configuration.

It delivers a production-ready ASGI foundation out of the box. It features an integrated static file server powered by (WhiteNoise <http://whitenoise.evans.io/en/stable/>_), Jinja2 templating for dynamic rendering, and a high-performance uvloop-based webserver—all optimized with automatic Gzip compression for reduced latency.

Documentation

See the documentation, for more details on features available in dyne.

Installation

Dyne uses optional dependencies (extras) to keep the core package lightweight.
This allows you to install only the features you need for your specific project.

Core Installation

To install the minimal ASGI core:

pip install dyne

Full Installation

To install all available features:

pip install "dyne[full]"

Installing Specific Feature Sets

Choose the bundle that fits your technology stack. Note that for most shells (like Zsh on macOS), you should wrap the package name in quotes to handle the brackets correctly.

Note: The use of brackets [] is required.

1. OpenAPI + (Request Validation & Response Serialization)

Enable automated OpenAPI (Swagger) documentation, request validation and response serialization using your preferred schema library:

With Pydantic

pip install "dyne[openapi_pydantic]"

With Marshmallow

pip install "dyne[openapi_marshmallow]"

2. GraphQL Engines

Integrate a native GraphQL interface and the GraphiQL IDE:

With Strawberry

pip install "dyne[graphql_strawberry]"

With Graphene

pip install "dyne[graphql_graphene]"

3. Database SQLAlchemy with Alchemical

Database SQLAlchemy support with Alchemical

pip install "dyne[sqlalchemy]"

4. Full Installation

To install all available features, including:

• Both GraphQL engines
• SQLAlchemy (Alchemical)
• Both serialization engines
• OpenAPI support
• HTTP client helpers

pip install "dyne[full]"

The Basic Idea

The primary concept here is to bring the niceties that are brought forth from both Flask and Falcon and unify them into a single framework, along with some new ideas I have. I also wanted to take some of the API primitives that are instilled in the Requests library and put them into a web framework. So, you'll find a lot of parallels here with Requests.

• Setting resp.content sends back bytes.
• Setting resp.text sends back unicode, while setting resp.html sends back HTML.
• Setting resp.media sends back JSON/YAML (.text/.html/.content override this).
• Setting resp.obj deserializes SQLAlchemy object(s) using Pydantic or Marshmallow schemas
• Case-insensitive req.headers dict (from Requests directly).
• resp.status_code, req.method, req.url, and other familiar friends.

Ideas

• A built in testing client that uses the actual Requests you know and love.

• A Pleasant Application Experience: Designed for developer happiness with a clean, intuitive, and consistent API.

• Native ASGI Foundation: Built on the ASGI <https://asgi.readthedocs.io>_ standard for high-performance, fully asynchronous applications.

• Expressive Routing: Declare routes using familiar f-string syntax <https://docs.python.org/3/whatsnew/3.6.html#pep-498-formatted-string-literals>_, improving readability and maintainability.

• First-Class Configuration: Strongly typed, auto-casted configuration with .env auto-discovery, environment variable overrides, and validation at startup.

• Database Integration: First-class SQLAlchemy support powered by Alchemical, providing clean session management, async-friendly patterns, and declarative configuration.

• Seamless API Documentation: Fully self-generated OpenAPI documentation with an interactive UI and native support for both Pydantic and Marshmallow schemas.

• Flexible View Layer: Support for function-based or class-based views (without mandatory inheritance) and a mutable response object that simplifies response handling.

• GraphQL Support: Native integration with Strawberry and Graphene, including GraphiQL for interactive schema exploration.

• Webhooks & Async Events: First-class webhook definition and documentation via the @webhook decorator, enabling clearly defined outbound callbacks and event-driven workflows.

• Request & Response Lifecycle: Powerful decorators such as @input for validation, @output for serialization, and @expect for enforcing headers, cookies, and request metadata.

• Bidirectional Communication: Built-in support for WebSockets alongside traditional HTTP and GraphQL endpoints.

• Background Tasks: Easily offload long-running or blocking work using a built-in ThreadPoolExecutor.

• Extensible Architecture: Mount any ASGI-compatible application at a subroute and serve single-page applications (SPAs) natively.

• Integrated Security: First-class authentication support for BasicAuth, TokenAuth, and DigestAuth.

• Advanced File Uploads: Robust file handling via a configurable FileField, enabling seamless binary data validation and storage integration for both Pydantic and Marshmallow schemas.