Celery-Kubernetes-Operator VS flower

Compare Celery-Kubernetes-Operator vs flower and see what are their differences.

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Celery-Kubernetes-Operator flower
1 3
77 6,131
- -
3.6 7.7
4 months ago about 2 months ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Celery-Kubernetes-Operator

Posts with mentions or reviews of Celery-Kubernetes-Operator. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-15.
  • Help: from Docker-Compose to Production (EC2, ECS, EKR)
    2 projects | /r/docker | 15 Jan 2021
    The take-out from that course is: don't deploy anything stateful on Kubernetes in production, period. Even disregarding that, don't deploy anything stateful that doesn't come in a form of an operator. For celery, https://github.com/celery/Celery-Kubernetes-Operator is a WIP, so obviously not suitable for anything.

flower

Posts with mentions or reviews of flower. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-04.
  • Scaling Celery to handle workflows and multiple queues
    2 projects | dev.to | 4 Feb 2023
    Use flower to monitor workers and tasks.
  • Wondering if I should use Celery vs threads for what I want to do
    4 projects | /r/flask | 12 Aug 2021
    From experience i would not use threads for this or any background jobs. I would use Celery or Flask-RQ2 to be your workers, you will also probably end up using them to run other tasks as you encounter the need for other jobs. They both use Redis as a broker and job store and you can use Redis for other things like caching and so many other useful features. I kind of like RQ2 more then Celery because its a little simpler but Celery has a lot more to offer, more features. RQ2 has rq-dashboard for monitoring jobs and Celery has Flower.

What are some alternatives?

When comparing Celery-Kubernetes-Operator and flower you can also consider the following projects:

django-suit - Modern theme for Django admin interface

django-jet - Modern responsive template for the Django admin interface with improved functionality. We are proud to announce completely new Jet. Please check out Live Demo

flask-admin - Simple and extensible administrative interface framework for Flask

flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

rq-dashboard - Flask-based web front-end for monitoring RQ queues

django-celery-results - Celery result back end with django

Wooey - A Django app that creates automatic web UIs for Python scripts.

rq - Simple job queues for Python

flask-apscheduler - Adds APScheduler support to Flask

django-xadmin - Drop-in replacement of Django admin comes with lots of goodies, fully extensible with plugin support, pretty UI based on Twitter Bootstrap.

django-grappelli - Media-Management with Grappelli

Ajenti - Ajenti Core and stock plugins