celery-workers

Machine Learning for HPC Workflows

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

A Flask Boilerplate to quickly get started with production-grade flask application. It has some additional packages pre-configured for ease of development.

언제 어디서든, 내 손 안의 간편한 날씨☀️🌈

How To Mock Celery Tasks With Pytest (Step-by-Step Guide with Examples)

An example of running multiple celery with each other consecutively

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

Celery on Kubernetes

This is a simple celery basics python app for rabbitmq and redis queuing

Django web scraper using Selenium to extract news articles — scheduled asynchronously with Celery + Celery Beat, Redis broker, and Flower monitoring dashboard

Production-grade asynchronous backend engineered with FastAPI, PostgreSQL, Redis, and Celery. Implements deterministic FSM application workflows, Redis cache-aside & sliding-window rate limiting, multi-tenant security isolation, and automated background tasks.

This is FastApi app to generate thumbnail images using celery. You may replace thumbnail generator task with other long running process.

A production-ready Retrieval-Augmented Generation (RAG) API built with FastAPI, PostgreSQL, and Celery for asynchronous document processing and scalable AI search.

The Celery connector for QueueKit.com

The Track and Trace page enables end users (receiver of a shipment) to monitor the status of their shipment.