The Celery connector for QueueKit.com
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Updated
May 30, 2021 - Python
The Celery connector for QueueKit.com
a web service and interpreter for a very basic linear algebra language
Notes on possible configurations and examples of Celery, the task queue with real-time processing and task scheduling.
This is the Rest api for Covid data along with visualisation of data in bar chart. Authentication is added with JWT.
AWS Task queue based on AWS Lambda & DynamoDB
Orbilite: Async task manager on RabbitMQ queue and aio_pika package
Queue for quantum chemistry software.
Mastering Django and the Django Rest Framework. Creating a blog and an accompanying API using industry-standard tools and software packages
Simple task queues in your Flask application with Kafka and Faust
Asyncio distributed task system with local, Redis and RabbitMQ backends
Asynchronous Distributed Task Queue
The Distributed Task Queue is a web application that allows users to create tasks and process them asynchronously with prioritization. The application uses Flask, MongoDB, and Redis to efficiently distribute the tasks to workers, which execute them based on their priority.
BeanQueue, a lightweight Python task queue framework based on SQLAlchemy, PostgreSQL SKIP LOCKED queries and NOTIFY / LISTEN statements.
REST Apis for a real-time stock market simulation platform, where users can subscribe for Ipos, buy/sell stocks, view interactive charts and explore the stock news to analyze the stocks.
Uses AWS Lambda and Fargate for exposing an API for long running tasks.
Sample celery project setup using docker. Redis is used as celery broker and Postgres as celery backend
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