Light weight, scheduler, retry failed tasks

The most helpful part of Celery is that it can use a plethora of different backends for distributing and coordinating tasks. For example, Celery can use RabbitMQ, Redis, or Amazon SQS as brokers and backends. Through SQLAlchemy, it can also interface with even more storage backends, like PostgreSQL, SQLite, and MySQL. Programming with Celery hides intricate details of those message queues and database engines and feels very pythonic, much like simply calling functions with some added decorators. I also love that it is open source, so if I cannot find an answer in the documentation, I can study the source code to understand how Celery behaves in certain edge cases.

A great tool for developers to manage and scheduled the tasks in queue format as well as gives ease to developers to code. Its very easy to install by just a pip command and you are good to go to use this as per your need.