Seamlessly prevent duplicate executions of celery tasks

Celery Batches allows processing of multiple Celery task requests together

Train AI (Keras + Tensorflow) to defend apps with Django REST Framework + Celery + Swagger + JWT - deploys to Kubernetes and OpenShift Container Platform

E-commerce Web Application written in Django with Payment Integration, Asyncronous task processing using Celery, Flower etc..

Helper to monitor jobs running Celery tasks in Django

A simple example of how to use Celery to schedule periodic tasks. It uses Redis as message broker.

Integrating Flask API backend with Celery for long running tasks

Digital menu QR code generator app backend

Python factory for limiting Celery tasks by configuration

crm system

It is kubernetes microservice that ingests Steam data, deployed as a service using sQLite for storing processes followed by an event driven message queue controlled by RabbitMQ. This message queue is also deployed as a service with an interconnection with celery workers integrated with Elasticsearch and Redis for caching and ingestion.

An example of running multiple celery with each other consecutively

一个来源于实际项目中的 celery-task-server 精简版

A guide for implementing celery, using django web framework.

iClinic Teste SRE Arquiteto

background jobs in flask using celery, sqs and postgresql

Testing Pub-Sub Implementations through Observer Pattern

YTFS based webapp for online streaming and downloading youtube videos

This is a flask application through which you can hit rest api's that allow you to create and add tasks in queue that executes and returns result asynhronously.The application is run on a uWSGI server and requests are routed through an nginx reverse-proxy. Docker is used to containerise each service and they are managed with docker compose

Automated testing using pytest and performance testing using locust and django-silk .