Simple, efficient background processing for Ruby
- ruby
- sidekiq
- background-jobs
- jobs
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Simple, efficient background processing for Ruby
An easy way to perform background job processing in .NET and .NET Core applications. No Windows Service or separate process required
BullMQ - Message Queue and Batch processing for NodeJS, Python, .NET, Elixir, Rust and PHP based on Redis or PostgreSQL
Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later.
Machinery is an asynchronous task queue/job queue based on distributed message passing.
A fast and reliable background task processing library for Python 3.
💎 Robust job processing in Elixir, backed by modern PostgreSQL, SQLite3, and MySQL
TickerQ is a fast, reflection-free background task scheduler for .NET built with source generators, EF Core integration, cron + time-based execution, and a real-time dashboard.
An extremely easy way to perform background processing in Java. Backed by persistent storage. Open and free for commercial use.
Sucker Punch is a Ruby asynchronous processing library using concurrent-ruby, heavily influenced by Sidekiq and girl_friday.
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 multiprocessing distributed task queue for Django
Job processing library for Elixir - compatible with Resque / Sidekiq
Simple, efficient job processing for Crystal
A job processing system that just verks! 🧛
Simple Job Processing in Elixir with Mnesia :zap:
A powerful background job processing library for Clojure
TaskBunny is a background processing application written in Elixir and uses RabbitMQ as a messaging backend
Ordered background jobs processing
Lightweight library for in-memory background processing in .NET applications.
A blazing fast job processing system backed by GenStage & Redis.
Background job processing for Common Lisp
Unlimited job queue for go, using a pool of concurrent workers processing the job queue entries