An extremely easy way to perform background processing in Java. Backed by persistent storage. Open and free for commercial use.
- java-8
- background-jobs
- parallel-processing
- scheduling
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An extremely easy way to perform background processing in Java. Backed by persistent storage. Open and free for commercial use.
Multithreaded, Postgres-based, Active Job backend for Ruby on Rails.
goworker is a Go-based background worker that runs 10 to 100,000* times faster than Ruby-based workers.
Sucker Punch is a Ruby asynchronous processing library using concurrent-ruby, heavily influenced by Sidekiq and girl_friday.
Database-backed Active Job backend
High performance Node.js/PostgreSQL job queue (also suitable for getting jobs generated by PostgreSQL triggers/functions out into a different work queue)
Distributed task queue with full async support
A Ruby job queue that uses PostgreSQL's advisory locks for speed and reliability.
A fast background processing framework for Ruby and RabbitMQ
Message Queue, Job Queue, Broadcasting, WebSockets packages for PHP, Symfony, Laravel, Magento. DEVELOPMENT REPOSITORY - provided by Forma-Pro
A super efficient Amazon SQS thread based message processor for Ruby.
Pluggable foundation blocks for building distributed apps.
Job scheduler and rate limiter, supports Clustering
Persistent cluster-friendly scheduler for Java
Message queue system written in Go and backed by Redis
Job processing library for Elixir - compatible with Resque / Sidekiq
Node.js Background jobs backed by redis.
Simple, efficient job processing for Crystal
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A job processing system that just verks! 🧛
Job Queue for Elixir. Clustered or Local. Straight BEAM. Optional Ecto. 💪🍈
Simple Job Processing in Elixir with Mnesia :zap:
A unified front-end for different queuing backends. Includes a REST server, CLI interface and daemon runners.
Easy C# API for Distributed Background Tasks/Jobs for .NET Core.