Python-based Web Framework

What is Celery?

Celery is an asynchronous task queue frequently used with Python-based web frameworks like Django or Flask. It is open-source and extensively used to organize background work outside the traditional request/response cycle. Celery can be a producer or consumer and is interoperable with many message brokers, including RabbitMQ and Redis.

Although Celery is built in Python, the protocol can be used with any language. Webhooks allow it to function with other languages as well. Celery can run on a single system, many machines, or several data centers.



Celery is free and open-source, which entices businesses or developers to utilize Celery.

Easy Installation

It is a small, simplistic library that is simple to install. The command "pip install - U Celery" can be installed from the terminal.


Celery's components, including custom pool implementations, serializers, and more, can be expanded or utilized independently.


A single Celery process has a round-trip latency of less than one millisecond while processing millions of jobs per minute.

Broker Support

Celery supports a variety of message brokers, including the well-known RabbitMQ and Amazon SQS. However, it is deficient in several functionalities.

Integration with Web Frameworks

Celery integrates with many Python web frameworks, including Flask, Pyramid, Pylons, Django, Tornado, and Trylons.


It uses a collection of sophisticated primitives known as "canvas" to create basic and complicated work routines.

Celery Components

Producers:The 'web nodes' that handle web requests are called producers. Tasks are allocated to the Celery mechanism and pushed into the task queue as the application processes them.
Consumer:Consumers are the 'worker nodes' that keep an eye on the queue head; the workers take the jobs and do them. Workers may undertake various jobs, allowing them to act in a producer-like manner.
Queue:It functions as a communication broker connecting producers and consumers by acting as a messaging system for Celery workers and web applications.

Use Cases

Speeding up the developmentCelery can also handle recurring activities, such as creating daily reports or erasing session data.process
It is useful to create a Python function to define independent activities your workers may perform.
It can also listen to a message broker like Redis to receive new task requests.
It allows easier connecting to Third Party APIs.
It can give workers the requirements so they can accomplish the tasks.
It can also track the performance of tasks and workers.
Celery makes performing long-running tasks super easy.
And more.

Next steps for Celery development with MarsDevs

Celery is an effective tool in development. Celery is used by most large businesses that utilize Python as their back-end language for asynchronous background work. Celery seeks to offer a simple interface for messaging its distributed task queue, and we can help!

Our Python back-end developers are well-versed in Celery and can do wonders with it! So connect with us to learn how!

Frequently Asked Questions

What is Celery development?

For UNIX systems, Celery is a distributed task queue. You may delegate tasks from your Python application with this.

When should you use Celery?

Celery helps run several tasks together utilizing the primary process, and while you focus on your work, Celery will finish the immediate smaller jobs. For example, you can create queues, deal with data chunks on lengthy tasks, and schedule execution periods for your tasks.

Why use Celery with FastAPI?

Not only would using Celery with the FastAPI application increase performance and efficiency overall, but it would also facilitate better management of background processes for longer tasks.