task-queue
The Distributed Task Queue for More Resilient Web Applications
Hatchet is a distributed, fault-tolerant task queue which replaces traditional message brokers and pub/sub systems - built to solve problems like concurrency, fairness, and durability.
Hatchet replaces difficult to manage legacy queues or pub/sub systems so you can design durable workloads that recover from failure and solve for problems like concurrency, fairness, and rate limiting. Instead of managing your own task queue or pub/sub system, you can use Hatchet to distribute your functions between a set of workers with minimal configuration or infrastructure:
Kubernetes-native Job Queueing.
Kueue is a set of APIs and controller for job queueing. It is a job-level manager that decides when a job should be admitted to start (as in pods can be created) and when it should stop (as in active pods should be deleted).
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A realtime celery task monitoring and management system.
Kanchi is a real-time Celery task monitoring (and management) system with an enjoyable user interface. It provides insights into task execution, worker health, and task statistics.
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A lightweight, PostgreSQL-backed job queue. Handle background jobs with ease.
DataQueue allows you to utilize your existing PostgreSQL database to process background jobs. No need for additional infra or services.
A lightweight, PostgreSQL-backed job queue for Node.js/TypeScript projects. Schedule, process, and manage background jobs with ease. Perfect for web apps (Next.js, etc.) deployed to serverless platforms like Vercel, AWS Lambda, etc.
🌠 Manage your shell commands.
Pueue is a command-line task management tool for sequential and parallel execution of long-running tasks.
A lightweight batch processing queue for the heaviest loads.
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Distributed Task Queue
Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system.
The durable, distributed, and cloud-agnostic queue for Node.js.
Sidequest is a modern, scalable background job processor for Node.js applications. Built with TypeScript and designed for production use, it provides reliable job processing with multiple database backends, a beautiful web dashboard, and comprehensive monitoring capabilities.
Flower is an open-source web application for monitoring and managing Celery clusters. It provides real-time information about the status of Celery workers and tasks.
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Simple, reliable, and efficient distributed task queue in Go.
Asynq is a Go library for queueing tasks and processing them asynchronously with workers. It's backed by Redis and is designed to be scalable yet easy to get started.