PostgreSQL-based Task Queue for Python
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Updated
Jun 21, 2024 - Python
PostgreSQL-based Task Queue for Python
A distributed workflow engine
Framework for authoring workflows and activities running on top of the Cadence orchestration engine.
Simple, reliable, and efficient distributed task queue in Go
The Task Queueing Solution for Serverless.
Declarative workflows with relations (state machine)
Ease launching multiple commands of functions in parallel using goroutines.
Simple job queues for Python
Ratus is a RESTful asynchronous task queue server. It translated concepts of distributed task queues into a set of resources that conform to REST principles and provides a consistent HTTP API for various backends.
BeanQueue, a lightweight Python task queue framework based on SQLAlchemy, PostgreSQL SKIP LOCKED queries and NOTIFY / LISTEN statements.
Queuex simplifies managing tasks in sequence, making it easy to handle various operations one after another. Whether you're processing data or handling requests, Queuex ensures tasks are organized and executed efficiently, streamlining your workflow.
Queue-agnostic background job library for Go, with a pleasant API and powerful features.
Java framework for Cadence Workflow Service
A basic queue for handling prioritized and scheduled tasks
asynchronous task queue with Redis Streams backend
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.
Fairly schedule async tasks and prevent any since user/subject from monopolizing the system resources.
Schedule async tasks using redis pub/sub.
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