Celery also supports pub/sub, and other topologies. It is focused on real-time operation, but supports scheduling as well. According to the StackShare community, Celery has a broader approval, being mentioned in 355 company stacks & 455 developers stacks; compared to asyncio, which is listed in 5 company stacks and 9 developer stacks. Strictly speaking, the answer is No. But I agree that py-amqp currently in a better shape that pika. asyncio vs gevent: What are the differences? (Taking us back to celery, redis, etc, which we don't want due to extra data movement..) Using PinLater has significantly strengthened Pinqueue3.0’s overall infra with its capability of processing a massive load of events with configurable retry policies. How Sentry Receives 20 Billion Events Per Month While Preparing to Handle Twice That - Sentry Tech Stack | StackShare, Easy to use and fast and goes well with JSONdb's, Scales, fast, simple, great community, npm, express, Lots of terrible examples on the internet, Callback functions may not fire on expected sequence, The Evolution of The New York Times Tech Stack | StackShare, Evolving Distributed Tracing at Uber Engineering | Uber Engineering Blog, What is the technology stack behind Pinterest? As Pinterest’s user base and ads business grow, the review volume has been increasing exponentially, and more content types require moderation support. Ability to work with asyncio; pika was looking great and I chose it over py-amqp. Under the hood, Pinqueue3.0 is a Flask + React app powered by Pinterest’s very own Gestalt UI framework. Celery is a widely recognized distributed task queue for pythonic projects. So we're moving quickly away from LAMP, I would say. I would like to be a Front End developer or full-stack developer. Flask is intended for getting started very quickly and was developed with best intentions in mind. I mean, LAMP's fine, you can do good work in LAMP. To solve greater engineering and operational challenges at scale, we needed a highly-reliable and performant system to detect, report, evaluate, and act on abusive content and users and so we created Pinqueue. Asyncio has allowed for the development of libraries such as uvloop and asyncpg that are reported (here, and here) to improve performance far beyond what was previously possible.Sadly Flask is not easily combined with asyncio … Check out Celery, RQ, or Huey. It is focused on real-time operation, but supports scheduling as well. >This is a very limited type of communication. Twisted runs on Python 2 and an ever growing subset also works with Python 3. There is an interesting bit on computing over cartesian topologies vs toroidal topologies, etc. So the threads are managed by the OS, where thread switching is preempted by the OS. This post (part 1/2) is an introduction/tutorial for Twisted Klein and assumes basic knowledge of Python, Flask and Twisted.If you don't know Twisted, here is a good introduction. 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. ... Express is a minimal and flexible node.js web application framework, providing a robust set of features for building single and multi-page, and hybrid web applications. asyncio belongs to "Microframeworks (Backend)" category of the tech stack, while Celery can be primarily classified under "Message Queue". A microframework for Python based on Werkzeug, Jinja 2 and good intentions, A platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications, A Python web framework and asynchronous networking library, originally developed at FriendFeed, Event-driven networking engine written in Python, Asynchronous HTTP Client/Server for asyncio and Python, Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple. Django is a synchronous web framework. A first in, first out (FIFO) queue. I will investigate use of celery in asyncio world. The default Celery scheduler creates some files to store its schedule locally. Developers describe asyncio as "Asynchronous I/O, event loop, coroutines and tasks". I remember times when Celery project was unmaintained for a few months. ... 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. Should I stick with it, move to Django, or is there another nice framework to use?