Celery is a powerful asynchronous task queue/job queue based on distributed message passing. It is written in Python and is used to execute tasks in a distributed manner across multiple worker nodes. Celery is highly versatile and can be used for a wide range of tasks, such as scheduling periodic tasks, processing long-running jobs, and coordinating real-time operations. It is widely used in web development, data processing, and other applications where tasks need to be executed asynchronously.
Celery falls under the category of Message Queues, which are essential components in modern distributed systems. Message Queues provide a way for different parts of a system to communicate and coordinate by passing messages between nodes. Celery specifically focuses on task queuing and distribution, allowing developers to break down complex tasks into smaller sub-tasks that can be executed in parallel across multiple workers. This helps in scaling applications and improving overall performance by offloading time-consuming tasks to background processes.
Founded in 2009 by Ask Solem, Celery was originally motivated by the need for a simple and reliable distributed task queue for Python applications. Over the years, Celery has evolved into a robust and feature-rich framework that is now used by a wide range of companies and developers worldwide. With its active community support and continuous development, Celery has become a popular choice for handling asynchronous tasks in various domains.
Currently, Celery holds a significant market share within the Message Queue category, with a strong presence in the Python ecosystem and beyond. As asynchronous processing continues to gain importance in modern applications, the demand for efficient task queues like Celery is expected to grow further. With ongoing updates and enhancements, Celery is poised to maintain and potentially expand its market share in the future as more businesses adopt distributed computing practices.
