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QUIC and HTTP/3 implementation in Python

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Top Related Projects

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ngtcp2 project is an effort to implement IETF QUIC protocol

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A QUIC implementation in pure Go

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Cross-platform, C implementation of the IETF QUIC protocol, exposed to C, C++, C# and Rust.

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Async-friendly QUIC implementation in Rust

Quick Overview

aioquic is a Python library that provides a QUIC implementation based on the asyncio framework. It supports both client and server roles, offering a high-performance, asynchronous implementation of the QUIC protocol and HTTP/3.

Pros

  • Asynchronous implementation, leveraging Python's asyncio for efficient I/O operations
  • Supports both client and server roles for QUIC and HTTP/3
  • Extensive test suite ensuring reliability and compliance with the QUIC protocol
  • Active development and maintenance, with regular updates and improvements

Cons

  • Limited to Python environments, not suitable for projects using other programming languages
  • May have a steeper learning curve for developers not familiar with asyncio
  • Performance might not match that of native implementations in languages like C or Rust
  • Documentation could be more comprehensive for advanced use cases

Code Examples

  1. Creating a QUIC client connection:
import asyncio
from aioquic.quic.configuration import QuicConfiguration
from aioquic.quic.connection import QuicConnection

async def main():
    configuration = QuicConfiguration(is_client=True)
    connection = QuicConnection(configuration=configuration)
    
    # Connect to a QUIC server
    await connection.connect(("example.com", 443), now=asyncio.get_event_loop().time())

asyncio.run(main())
  1. Sending HTTP/3 request:
from aioquic.h3.connection import H3Connection
from aioquic.h3.events import DataReceived, HeadersReceived

async def send_request(connection):
    h3_conn = H3Connection(connection)
    stream_id = h3_conn.get_next_available_stream_id()
    h3_conn.send_headers(
        stream_id=stream_id,
        headers=[
            (b":method", b"GET"),
            (b":scheme", b"https"),
            (b":authority", b"example.com"),
            (b":path", b"/"),
        ],
    )
    
    while True:
        event = await h3_conn.get_event()
        if isinstance(event, (HeadersReceived, DataReceived)):
            # Process received headers or data
            print(event)
  1. Creating a QUIC server:
from aioquic.quic.configuration import QuicConfiguration
from aioquic.asyncio import serve

async def handle_stream(reader, writer):
    data = await reader.read()
    writer.write(b"Hello, QUIC!")
    await writer.close()

async def main():
    configuration = QuicConfiguration(is_client=False)
    await serve(
        host="0.0.0.0",
        port=4433,
        configuration=configuration,
        stream_handler=handle_stream,
    )

asyncio.run(main())

Getting Started

To get started with aioquic, follow these steps:

  1. Install the library:

    pip install aioquic
    
  2. Import the necessary modules:

    from aioquic.quic.configuration import QuicConfiguration
    from aioquic.quic.connection import QuicConnection
    from aioquic.asyncio import connect
    
  3. Create a QUIC configuration and establish a connection:

    configuration = QuicConfiguration(is_client=True)
    async with connect("example.com", 443, configuration=configuration) as connection:
        # Use the connection for QUIC communication
    

For more detailed usage and advanced features, refer to the project's documentation and examples in the GitHub repository.

Competitor Comparisons

1,127

ngtcp2 project is an effort to implement IETF QUIC protocol

Pros of ngtcp2

  • Written in C, offering potentially better performance and lower-level control
  • Focuses solely on QUIC implementation, allowing for a more specialized and optimized codebase
  • Provides a comprehensive test suite for QUIC protocol compliance

Cons of ngtcp2

  • Requires more manual management of memory and resources
  • Less user-friendly for high-level application development compared to Python-based aioquic
  • May have a steeper learning curve for developers not familiar with C programming

Code Comparison

ngtcp2 (C):

ngtcp2_conn *conn;
ngtcp2_conn_client_new(&conn, dcid, &params, &callbacks, NULL);
ngtcp2_conn_handshake(conn, buf, &pktlen, NULL, 0, timestamp);

aioquic (Python):

async def run_client(configuration):
    async with connect("localhost", 4433, configuration=configuration) as client:
        await client.ping()

The code snippets demonstrate the difference in complexity and abstraction level between the two libraries. ngtcp2 requires more low-level setup and management, while aioquic provides a higher-level, more Pythonic interface for QUIC connections.

9,954

A QUIC implementation in pure Go

Pros of quic-go

  • Written in Go, offering better performance and concurrency handling
  • More mature project with a larger community and more frequent updates
  • Supports both client and server implementations

Cons of quic-go

  • Limited to Go ecosystem, less flexible for cross-language projects
  • Steeper learning curve for developers not familiar with Go
  • Larger codebase, potentially more complex to understand and modify

Code Comparison

aioquic (Python):

async def connect(host, port, configuration):
    async with connect(host, port, configuration=configuration) as client:
        await client.ping()

quic-go (Go):

session, err := quic.DialAddr(addr, tlsConf, config)
if err != nil {
    return err
}
stream, err := session.OpenStreamSync(context.Background())

Additional Notes

Both aioquic and quic-go are implementations of the QUIC protocol, but they cater to different ecosystems. aioquic is Python-based and leverages asyncio, making it suitable for Python projects and easier integration with other async libraries. quic-go, on the other hand, is designed for Go applications and benefits from Go's performance characteristics and concurrency model.

4,010

Cross-platform, C implementation of the IETF QUIC protocol, exposed to C, C++, C# and Rust.

Pros of msquic

  • Developed and maintained by Microsoft, potentially offering better long-term support and resources
  • Written in C, which may provide better performance and lower-level control
  • Extensive documentation and integration guides for various platforms

Cons of msquic

  • Larger codebase and potentially more complex to understand and contribute to
  • Primarily focused on Windows platforms, though cross-platform support is available
  • Steeper learning curve for developers not familiar with C programming

Code Comparison

msquic (C):

QUIC_STATUS
ServerStreamCallback(
    _In_ HQUIC Stream,
    _In_opt_ void* Context,
    _Inout_ QUIC_STREAM_EVENT* Event
    )
{
    // Handle stream events
}

aioquic (Python):

@asyncio.coroutine
def handle_stream(stream):
    while True:
        data = yield from stream.recv()
        if not data:
            break
        # Process data

Additional Notes

Both msquic and aioquic implement the QUIC protocol, but they target different use cases and developer audiences. msquic is more suitable for systems programming and high-performance scenarios, while aioquic is ideal for Python developers looking for an asyncio-compatible QUIC implementation. The choice between them depends on the specific project requirements, target platform, and development team expertise.

3,719

Async-friendly QUIC implementation in Rust

Pros of quinn

  • Written in Rust, offering memory safety and performance benefits
  • More active development with frequent updates and contributions
  • Comprehensive documentation and examples

Cons of quinn

  • Steeper learning curve for developers not familiar with Rust
  • Potentially less integration options with Python-based projects

Code Comparison

quinn (Rust):

let mut endpoint = Endpoint::server(server_config, server_addr)?;
while let Some(conn) = endpoint.accept().await {
    tokio::spawn(handle_connection(conn));
}

aioquic (Python):

async def run_server(host, port):
    configuration = QuicConfiguration(is_client=False)
    await serve(host, port, configuration=configuration, handler=handle_client)

Additional Notes

Both quinn and aioquic are QUIC protocol implementations, but they cater to different ecosystems. quinn is more suitable for Rust-based projects, while aioquic integrates well with Python applications. The choice between them often depends on the primary programming language of the project and the specific requirements for QUIC implementation.

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README

aioquic

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What is aioquic?

aioquic is a library for the QUIC network protocol in Python. It features a minimal TLS 1.3 implementation, a QUIC stack and an HTTP/3 stack.

aioquic is used by Python opensource projects such as dnspython, hypercorn, mitmproxy_ and the Web Platform Tests_ cross-browser test suite. It has also been used extensively in research papers about QUIC.

To learn more about aioquic please read the documentation_.

Why should I use aioquic?

aioquic has been designed to be embedded into Python client and server libraries wishing to support QUIC and / or HTTP/3. The goal is to provide a common codebase for Python libraries in the hope of avoiding duplicated effort.

Both the QUIC and the HTTP/3 APIs follow the "bring your own I/O" pattern, leaving actual I/O operations to the API user. This approach has a number of advantages including making the code testable and allowing integration with different concurrency models.

A lot of effort has gone into writing an extensive test suite for the aioquic code to ensure best-in-class code quality, and it is regularly tested for interoperability_ against other QUIC implementations_.

Features

  • minimal TLS 1.3 implementation conforming with RFC 8446_
  • QUIC stack conforming with RFC 9000_ (QUIC v1) and RFC 9369_ (QUIC v2)
    • IPv4 and IPv6 support
    • connection migration and NAT rebinding
    • logging TLS traffic secrets
    • logging QUIC events in QLOG format
    • version negotiation conforming with RFC 9368_
  • HTTP/3 stack conforming with RFC 9114_
    • server push support
    • WebSocket bootstrapping conforming with RFC 9220_
    • datagram support conforming with RFC 9297_

Installing

The easiest way to install aioquic is to run:

.. code:: bash

pip install aioquic

Building from source

If there are no wheels for your system or if you wish to build aioquic from source you will need the OpenSSL development headers.

Linux .....

On Debian/Ubuntu run:

.. code-block:: console

sudo apt install libssl-dev python3-dev

On Alpine Linux run:

.. code-block:: console

sudo apk add openssl-dev python3-dev bsd-compat-headers libffi-dev

OS X ....

On OS X run:

.. code-block:: console

brew install openssl

You will need to set some environment variables to link against OpenSSL:

.. code-block:: console

export CFLAGS=-I$(brew --prefix openssl)/include export LDFLAGS=-L$(brew --prefix openssl)/lib

Windows .......

On Windows the easiest way to install OpenSSL is to use Chocolatey_.

.. code-block:: console

choco install openssl

You will need to set some environment variables to link against OpenSSL:

.. code-block:: console

$Env:INCLUDE = "C:\Progra1\OpenSSL\include" $Env:LIB = "C:\Progra1\OpenSSL\lib"

Running the examples

aioquic comes with a number of examples illustrating various QUIC usecases.

You can browse these examples here: https://github.com/aiortc/aioquic/tree/main/examples

License

aioquic is released under the BSD license_.

.. _read the documentation: https://aioquic.readthedocs.io/en/latest/ .. _dnspython: https://github.com/rthalley/dnspython .. _hypercorn: https://github.com/pgjones/hypercorn .. _mitmproxy: https://github.com/mitmproxy/mitmproxy .. _Web Platform Tests: https://github.com/web-platform-tests/wpt .. _tested for interoperability: https://interop.seemann.io/ .. _QUIC implementations: https://github.com/quicwg/base-drafts/wiki/Implementations .. _cryptography: https://cryptography.io/ .. _Chocolatey: https://chocolatey.org/ .. _BSD license: https://aioquic.readthedocs.io/en/latest/license.html .. _RFC 8446: https://datatracker.ietf.org/doc/html/rfc8446 .. _RFC 9000: https://datatracker.ietf.org/doc/html/rfc9000 .. _RFC 9114: https://datatracker.ietf.org/doc/html/rfc9114 .. _RFC 9220: https://datatracker.ietf.org/doc/html/rfc9220 .. _RFC 9297: https://datatracker.ietf.org/doc/html/rfc9297 .. _RFC 9368: https://datatracker.ietf.org/doc/html/rfc9368 .. _RFC 9369: https://datatracker.ietf.org/doc/html/rfc9369