visual-chatbot VS flower

Compare visual-chatbot vs flower and see what are their differences.

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visual-chatbot flower
1 3
185 6,177
0.0% -
0.0 7.7
over 1 year ago 5 days ago
Python Python
- 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.

visual-chatbot

Posts with mentions or reviews of visual-chatbot. We have used some of these posts to build our list of alternatives and similar projects.
  • Visual Chatbots and B2B: What You Need to Know
    1 project | dev.to | 30 Aug 2021
    If you're not intimidated by the thought of mucking around with the inner workings of a visual chatbot, there's an open-source chatbot on GitHub you can download. This chatbot can analyze the contents of an uploaded image and answer questions about it. It provides an excellent example of how visual chatbots function.

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.
  • Python Celery - high level overview(animated video)
    1 project | /r/Python | 29 Jan 2023
    Not sure what your criteria for good observability ist, but flower served me well enough for this in the last couple of years.
  • 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 visual-chatbot and flower you can also consider the following projects:

kerground - Stupid simple background worker based on python.

django-suit - Modern theme for Django admin interface

playlistor - 🎶Apple Music ↔️ Spotify playlist convertor.

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

pika - Pure Python RabbitMQ/AMQP 0-9-1 client library

Celery-Kubernetes-Operator - An operator to manage celery clusters on Kubernetes (Work in Progress)

starter-template - Django LiveView: Framework for creating Realtime SPAs using HTML over the Wire technology

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

beatserver - Beatserver, a periodic task scheduler for Django 🎵

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

awx - AWX provides a web-based user interface, REST API, and task engine built on top of Ansible. It is one of the upstream projects for Red Hat Ansible Automation Platform.

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