GitHub - que-rb/que: A Ruby job queue that uses PostgreSQL’s advisory locks for speed and reliability.

A Ruby job queue that uses PostgreSQL’s advisory locks for speed and reliability. - GitHub - que-rb/que: A Ruby job queue that uses PostgreSQL’s advisory locks for speed and reliability.

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Last Updated: 30 July 2025

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GitHub - que-rb/que: A Ruby job queue that uses PostgreSQL’s advisory locks for speed and reliability.

A Ruby job queue that uses PostgreSQL’s advisory locks for speed and reliability. - GitHub - que-rb/que: A Ruby job queue that uses PostgreSQL’s advisory locks for speed and reliability.

Loading Stats

Last Updated: 30 July 2025

Loading Readme

13 Projects and apps Similar to "GitHub - que-rb/que: A Ruby job queue that uses PostgreSQL’s advisory locks for speed and reliability." in July 2025

GitHub - nesquena/backburner: Simple and reliable beanstalkd job queue for ruby

GitHub - ruby-amqp/bunny: Bunny is a popular, easy to use, mature Ruby client for RabbitMQ

GitHub - collectiveidea/delayed_job: Database based asynchronous priority queue system -- Extracted from Shopify

GitHub - bensheldon/good_job: Multithreaded, Postgres-based, ActiveJob backend for Ruby on Rails.

GitHub - chaps-io/gush: Fast and distributed workflow runner using ActiveJob and Redis

GitHub - karafka/karafka: Framework for Apache Kafka based Ruby and Rails applications development.

GitHub - ruby-amqp/march_hare: Idiomatic, fast and well-maintained JRuby client for RabbitMQ

GitHub - resque/resque: Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later.

Rocket Job. Ruby’s missing batch system

GitHub - ruby-shoryuken/shoryuken: A super efficient Amazon SQS thread based message processor for Ruby

Simple, efficient background jobs for Ruby

GitHub - jondot/sneakers: A fast background processing framework for Ruby and RabbitMQ

GitHub - brandonhilkert/sucker_punch: Sucker Punch is a Ruby asynchronous processing library using concurrent-ruby, heavily influenced by Sidekiq and girl_friday.

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