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Discover 132 open source projects
Showing 1-20 of 132 projects
doocs/advanced-java
Advanced Java interview prep covering high-concurrency, distributed systems, and more
redis/redis
Redis is a fast, in-memory data structure server used for caching, real-time applications, and more.
celery/celery
Distributed task queue for Python with support for AMQP, Redis, and SQS.
nsqio/nsq
Realtime distributed messaging platform for developers
redisson/redisson
Redisson is a Java client for Redis and Valkey with distributed objects and services
nats-io/nats-server
High-performance open-source server for the NATS.io cloud and edge native messaging system.
emirpasic/gods
GoDS (Go Data Structures) - a comprehensive Go library for common data structures and algorithms.
OptimalBits/bull
A premium queue package for handling distributed jobs and messages in NodeJS.
emqx/emqx
A highly scalable and reliable MQTT broker for AI, IoT, IIoT and connected vehicle applications.
MotiaDev/motia
Unifies APIs, background jobs, queues, workflows, streams, and AI agents with a single core primitive.
hibiken/asynq
A simple, reliable, and efficient distributed task queue in Go
rq/rq
Simple job queues for Python, allowing you to easily schedule and manage asynchronous tasks.
agenda/agenda
Lightweight job scheduling for Node.js, supporting recurring, background tasks, and cron-style scheduling.
skypilot-org/skypilot
Easily run, manage, and scale AI workloads on any infrastructure using a unified platform.
resque/resque
Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later.
Automattic/kue
Kue is a priority job queue backed by Redis, built for Node.js, for processing and managing asynchronous tasks.
redpanda-data/connect
A highly configurable, production-ready stream processing platform for building real-time data pipelines.
taskforcesh/bullmq
BullMQ is a powerful message queue and batch processing library for Node.js, Python, Elixir, and PHP based on Redis.
bentoml/BentoML
BentoML is an easy-to-use framework for building and deploying production-ready machine learning models as APIs.
RichardKnop/machinery
Machinery is an asynchronous task queue/job queue system for distributed message passing in Go.
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