Simple job queues for Python
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Updated
Jun 4, 2024 - Python
Simple job queues for Python
Real-time monitor and web admin for Celery distributed task queue
🛒 A e-commerce system using microservices concepts and architected with docker.
Serverless Orchestrator of Serverless Workers for AWS - Worker
Flask based more dynamic and actionable frontend dashboard for monitoring Redis Queue 👩🏿💻 http://python-rq.org
⚙️ | REPLACED BY https://github.com/runpod-workers | Official set of serverless worker provided by RunPod as endpoints.
A micro workers class that easily manages a pool of threads to optimise simultaneous jobs and jobs endings, for MicroPython (used on Pycom modules & ESP32)
Want to handle 100,000 messages in 90 seconds? Celery and Kombu are that awesome - Multiple publisher-subscriber demos for processing json or pickled messages from Redis, RabbitMQ or AWS SQS. Includes Kombu message processors using native Producer and Consumer classes as well as ConsumerProducerMixin workers for relay publish-hook or caching
Pool_Workers is a small python package for managing pools, workers, and queues with ease.
BoolTest - polynomial randomness tester
KPNC Technology: Trader: A stock market utility that is comprised of the NASDAQ-100 components...
Task queue, Long lived workers for work based parallelization, with processes and Redis as back-end. For distributed computing.
Django Backend API that reads data from a csv file, delivers its computation to a celery worker, and stores in PostgreSQL. Thereby, you can interact with those data : retrieve, add, delete, and update
📅 Daemon app to schedule execution, like sync servers, apps and more.
The WorkforceHealthTracker Health Monitoring Application (COVID-19), is a Mobile responsive survey driven Web-based application, developed to provide visibility to daily monitor and track the health of the organization's workforce. This will enable the organization's administration to make decisions around who should come to work and who should …
Tentacule is an uncomplicated library to deal with a pool of worker processes
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