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Twisted vs asyncio: What are the differences?

Key Differences between Twisted and asyncio

Twisted and asyncio are both popular libraries used for asynchronous programming in Python. While they serve a similar purpose, they have some crucial differences that set them apart.

1. Event Loop Implementation: Twisted uses its own event loop implementation, whereas asyncio is built on top of Python's native event loop. This means that Twisted provides its own event loop and doesn't rely on the one provided by Python.

2. Compatibility: asyncio is a part of the standard library since Python 3.4, which makes it easily available for developers without any external dependencies. On the other hand, Twisted is a separate library that needs to be installed and managed as an external dependency.

3. Programming Style: Twisted is traditionally based on callback-style programming, where functions are registered as callbacks that are called when specific events occur. asyncio, on the other hand, is designed with coroutines and the await keyword, providing a more synchronous-like programming style.

4. Community and Ecosystem: asyncio, being a part of the standard library, has a larger community and ecosystem support. There are more third-party libraries and frameworks built on top of asyncio compared to Twisted. Twisted, however, has been around for longer and has its own well-established community and ecosystem.

5. Protocols and Transports: Twisted provides a rich set of protocols and transports for building network applications, including support for various protocols like HTTP, FTP, DNS, etc. asyncio, on the other hand, provides a more low-level API and requires developers to implement protocols themselves or use higher-level libraries built on top of asyncio.

6. Performance: Twisted is known for its performance and scalability, especially in high-concurrency scenarios. While asyncio also provides good performance, Twisted has a longer history of optimizations and is battle-tested in many production systems.

In summary, Twisted and asyncio have different event loop implementations, programming styles, community support, and performance characteristics. asyncio, as a part of the standard library, offers easier availability and a more modern programming style with coroutines, while Twisted has a longer history, extensive protocol support, and proven scalability.

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Pros of asyncio
Pros of Twisted
  • 4
    Cooperative Multitasking
  • 4
    I/O Wait
  • 3
    Network Call
  • 2
    I/O bound computation
  • 5
    Easy-to-understand concurrency
  • 3
    Twisted prevails
  • 1
    It works
  • 1
    Solid, flexible, powerful

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What is asyncio?

This module provides infrastructure for writing single-threaded concurrent code using coroutines, multiplexing I/O access over sockets and other resources, running network clients and servers, and other related primitives.

What is Twisted?

Twisted is an event-driven networking engine written in Python and licensed under the open source ​MIT license. Twisted runs on Python 2 and an ever growing subset also works with Python 3. Twisted also supports many common network protocols, including SMTP, POP3, IMAP, SSHv2, and DNS.

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    What are some alternatives to asyncio and Twisted?
    Flask
    Flask is intended for getting started very quickly and was developed with best intentions in mind.
    Celery
    Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.
    gevent
    It is a coroutine -based Python networking library that uses greenlet to provide a high-level synchronous API on top of the libev or libuv event loop.
    Node.js
    Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.
    Tornado
    By using non-blocking network I/O, Tornado can scale to tens of thousands of open connections, making it ideal for long polling, WebSockets, and other applications that require a long-lived connection to each user.
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