Awesome GitHub RepositoriesLua Scripting

Redisson is a Java library and Redis client that functions as a distributed Java object mapper, caching provider, and locking framework. It maps Java collections and concurrency primitives to distributed implementations backed by Redis and Valkey, providing synchronous, asynchronous, and reactive APIs for interacting with these data stores. The project distinguishes itself by providing a comprehensive suite of distributed coordination tools, including a locking framework for managing semaphores and countdown latches across multiple application nodes. It also serves as a distributed messaging

Bull is a Node.js library for managing distributed jobs and message queues using Redis as the primary data store. It functions as a distributed task worker, job scheduler, and priority queue manager designed to handle asynchronous workloads across multiple processes. The project distinguishes itself by providing a persistent communication channel that decouples servers through the exchange of serializable data objects. It ensures distributed system reliability by detecting stalled tasks and recovering from process crashes to ensure every queued job is completed. The system covers a broad ran

ioredis is a performance-focused Redis client for Node.js designed to execute commands and manage data connections. It provides a specialized interface for interacting with standalone servers, sharded clusters, and high-availability setups. The library distinguishes itself with native support for Redis Cluster, featuring automatic slot discovery and network address mapping, and Redis Sentinel for master node discovery and automatic failover. It also includes a dedicated Lua scripting interface that utilizes server-side caching to ensure atomic operations. The project covers a broad set of ca

Sidekiq is a background job processor and queue manager for Ruby that uses Redis to manage asynchronous tasks. It functions as a distributed task scheduler capable of handling periodic, delayed, and recurring jobs across a cluster of worker processes. The project features a job monitoring dashboard and administrative web interface for visualizing system state, tracking worker performance, and managing failed or dead jobs. It provides a distributed rate limiter to control execution frequency across multiple processes. The framework covers a broad range of operational capabilities, including j

Sidekiq is a Ruby background processing framework and asynchronous task runner. It functions as a Redis-backed background job processor that offloads heavy or time-consuming work from web requests to separate worker processes to ensure the main application remains responsive. The system operates as a Redis task queue, storing pending jobs in Redis to be processed concurrently by multiple threads. It provides a framework for distributed task queueing and asynchronous job scheduling to coordinate work across multiple server instances. The project covers Ruby application scaling by executing ba

Asynq is a distributed background job processing framework for Go applications. It manages asynchronous task queues by offloading heavy operations to persistent storage, allowing the main application to remain responsive while background workers handle workloads. The system utilizes Redis to manage task state, concurrency, and message distribution across multiple worker instances. It employs atomic Lua scripting and sorted sets to ensure reliable job acquisition, precise scheduling of delayed tasks, and fault-tolerant processing through a two-stage acknowledgement flow. The framework support

Garnet is a multi-threaded in-memory database and distributed key-value store. It functions as a high-performance remote cache store that implements the RESP wire protocol to maintain compatibility with existing Redis clients and libraries. The project is distinguished by a shared-memory architecture that enables parallel request processing across multiple cores for sub-millisecond latency. It features a tiered storage system that automatically offloads colder data from system memory to SSD or cloud storage layers, and includes a specialized vector search database for high-dimensional similar

Redis is a high-performance in-memory key-value store that functions as a distributed cache, message broker, and NoSQL database. It provides sub-millisecond read and write access to data stored in RAM and can operate as a vector database for indexing high-dimensional embeddings. The system supports a wide range of data storage and synchronization primitives, including the management of strings, hashes, lists, sets, and JSON documents. It enables real-time data operations through atomic transactions, hybrid persistence using snapshots and append-only logs, and high-availability configurations

RedisInsight is a graphical user interface and management tool for browsing, analyzing, and administering Redis databases. It provides a visual environment for exploring key-value data structures, managing database instances, and performing data analysis across different operating systems and deployments. The tool distinguishes itself by providing dedicated visual managers for complex operations, including a vector database manager for configuring embeddings and similarity searches, a query workbench for executing raw commands and Lua scripts, and a performance monitoring dashboard for tracki

BullMQ is a Redis-backed message queue library and background processor designed for distributed task queueing. It functions as a distributed queue manager and task scheduler, utilizing Redis to manage asynchronous job processing and persistence. The system distinguishes itself through its role as a job workflow orchestrator, enabling the definition of complex parent-child job dependencies and hierarchies for multi-step workflows. It provides sandboxed process execution to isolate heavy workloads and prevent event loop blocking, alongside distributed rate limiting to protect downstream servic

HAProxy is a high-performance TCP and HTTP proxy that distributes traffic across multiple backend servers to ensure availability and fault tolerance for critical services. It operates in either TCP or HTTP mode, with an event-driven, single-threaded reactor that handles tens of thousands of connections without context switching, and supports kernel-level data transfer to minimize memory usage and latency. What distinguishes HAProxy is its configuration-file-first design, where all load-balancing rules and runtime behavior are defined in a declarative text file parsed at startup. It embeds a L

General purpose redis client

Suricata is an open-source network intrusion detection and prevention engine that analyzes live network traffic in real-time to identify and alert on malicious activity. It operates as a rule-based threat detection system, matching traffic against user-defined signatures to detect known attack patterns and policy violations, and can be placed inline to actively block malicious packets before they reach their target. The engine inspects a wide range of application-layer protocols including HTTP, DNS, TLS, SMB, and MQTT, and supports high-performance packet capture through specialized hardware a

LedisDB este un magazin distribuit NoSQL cheie-valoare construit în Go. Funcționează ca un server de bază de date de înaltă performanță care persistă valori simple, contoare și structuri de date complexe folosind motoare de stocare pluggable. Sistemul implementează protocolul Redis pentru a menține compatibilitatea cu bibliotecile și driverele client existente, oferind în același timp o interfață HTTP care expune funcțiile bazei de date prin formate JSON, BSON sau msgpack. Include o mașină virtuală încorporată pentru a executa scripturi Lua personalizate pe partea de server pentru operațiuni complexe. Platforma suportă disponibilitate ridicată prin replicarea datelor între nodurile primare și secundare. Suprafața sa de capabilități acoperă o varietate de structuri de date, inclusiv hash-uri, seturi și seturi sortate, alături de funcții pentru scrieri în lot, expirarea datelor și controlul accesului la baza de date.

Ledisdb este un server de bază de date NoSQL de înaltă performanță scris în Go. Funcționează ca un magazin cheie-valoare care suportă structuri de date complexe și utilizează stocarea persistentă pe disc pentru a gestiona volume de date care depășesc capacitatea memoriei sistemului. Sistemul este conceput atât ca un server autonom, cât și ca o bibliotecă de motor încorporabilă care se integrează direct în binarele Go. Dispune de un magazin de date scriptabil care execută scripturi Lua pe partea de server pentru operațiuni atomice și oferă un API HTTP pentru schimbul de date folosind serializarea JSON, BSON și msgpack. Baza de date include capabilități pentru replicarea distribuită a datelor între nodurile primare și replică pentru a asigura disponibilitatea ridicată. De asemenea, implementează expirarea "time-to-live" pentru eliminarea automată a datelor, autentificarea utilizatorilor pentru securitatea cererilor și instrumente de întreținere pentru repararea fișierelor de date corupte.

Redsync este un manager de lock-uri distribuite și o extensie de client Redis pentru Go, creată pentru a asigura accesul exclusiv la resurse partajate. Acesta implementează excluderea mutuală între mai multe procese folosind un backend Redis pentru a coordona sincronizarea și a preveni condițiile de cursă (race conditions) în medii distribuite. Biblioteca menține validitatea lock-urilor prin consens bazat pe cvorum, necesitând scrieri reușite către o majoritate de noduri Redis independente. Utilizează operațiuni atomice prin scripturi Lua pentru achiziție și eliberare, folosind totodată validarea proprietății bazată pe valori și expirarea de tip time-to-live pentru a preveni blocajele (deadlocks). Proiectul oferă capabilități pentru coordonare distribuită și sincronizarea aplicațiilor, utilizând polling cu reîncercare pe partea de client pentru a gestiona timeout-urile de achiziție a resurselor.

Bee-queue is a Node.js background processing system that uses Redis for job queueing and persistence. It is designed to offload heavy tasks from the main execution thread to background workers to maintain application responsiveness. The project provides distributed job processing, allowing worker nodes to run across multiple processes to handle large volumes of tasks concurrently. It ensures reliable task execution through automatic retries and the recovery of stalled processes. Its capability surface covers asynchronous task scheduling for delayed jobs, concurrency control for worker nodes,

This is a Ruby client library and protocol driver used to integrate Ruby applications with Redis databases. It functions as a communication layer that manages protocol versions and provides a consistent interface for executing database operations. The library supports a variety of deployment topologies, including standalone instances, Redis Sentinel for high-availability master discovery and failover, and Redis Cluster with slot-aware request routing and node discovery. It also provides client-side sharding using consistent hashing to distribute data across independent servers. Broad capabil

EFCore.BulkExtensions is a library for executing high-performance batch insert, update, and delete operations within the Entity Framework Core ecosystem. It functions as a database batch processing toolkit and a wrapper for native SQL Bulk Copy to enable faster data ingestion and synchronization across multiple database providers. The library provides specialized capabilities for relational data synchronization, allowing users to align database tables with local entity lists through bulk upserts and conditional synchronization. It also supports relational data graph insertions, which enable t

Rueidis is a high-performance Redis client library for Go that provides a type-safe and asynchronous interface for interacting with Redis servers. It includes a full implementation of the Redis serialization protocol and a dedicated connection manager to handle pooling, multiplexing, and automatic pipelining. The library is distinguished by its support for RDMA connectivity to reduce latency and CPU overhead. It features a distributed lock manager that implements majority-based locking and optimistic concurrency control, as well as client-side caching with invalidation signals to minimize net