PostgreSQL-based Task Queue for Python
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Updated
Jun 30, 2024 - Python
PostgreSQL-based Task Queue for Python
Another curated list of Python frameworks
BeanQueue, a lightweight Python task queue framework based on SQLAlchemy, PostgreSQL SKIP LOCKED queries and NOTIFY / LISTEN statements.
Schedule async tasks using redis pub/sub.
Declarative workflows with relations (state machine)
A distributed workflow engine
A simple app that provides django integration for RQ (Redis Queue)
Framework for authoring workflows and activities running on top of the Cadence orchestration engine.
A multiprocessing distributed task queue for Django based on Django-Q
Simple, reliable, and efficient distributed task queue in Go
The Task Queueing Solution for Serverless.
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.
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
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