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 est un magasin clé-valeur NoSQL distribué construit en Go. Il fonctionne comme un serveur de base de données haute performance qui persiste des valeurs simples, des compteurs et des structures de données complexes en utilisant des moteurs de stockage enfichables. Le système implémente le protocole Redis pour maintenir la compatibilité avec les bibliothèques et pilotes clients existants, tout en fournissant une interface HTTP qui expose les fonctions de base de données via des formats JSON, BSON ou msgpack. Il inclut une machine virtuelle embarquée pour exécuter des scripts Lua côté serveur personnalisés pour des opérations complexes. La plateforme prend en charge la haute disponibilité via la réplication de données entre les nœuds primaires et secondaires. Sa surface de capacités couvre une variété de structures de données incluant des hachages, des ensembles et des ensembles triés, ainsi que des fonctionnalités pour les écritures par lots, l'expiration des données et le contrôle d'accès à la base de données.

Ledisdb est un serveur de base de données NoSQL haute performance écrit en Go. Il fonctionne comme un magasin clé-valeur qui prend en charge des structures de données complexes et utilise un stockage disque persistant pour gérer des volumes de données qui dépassent la capacité de la mémoire système. Le système est conçu à la fois comme un serveur autonome et une bibliothèque de moteur embarquable qui s'intègre directement dans les binaires Go. Il dispose d'un magasin de données scriptable qui exécute des scripts Lua côté serveur pour des opérations atomiques et fournit une API HTTP pour l'échange de données utilisant la sérialisation JSON, BSON et msgpack. La base de données inclut des capacités pour la réplication de données distribuée entre les nœuds primaires et répliques pour assurer la haute disponibilité. Elle implémente également l'expiration TTL (time-to-live) pour la suppression automatique des données, l'authentification utilisateur pour la sécurité des requêtes et des outils de maintenance pour réparer les fichiers de données corrompus.

Redsync est un gestionnaire de verrous distribués et une extension client Redis pour Go, conçue pour garantir un accès exclusif aux ressources partagées. Il implémente l'exclusion mutuelle entre plusieurs processus en utilisant un backend Redis pour coordonner la synchronisation et prévenir les conditions de concurrence dans les environnements distribués. La bibliothèque maintient la validité des verrous grâce à un consensus basé sur le quorum, exigeant des écritures réussies sur une majorité de nœuds Redis indépendants. Elle utilise des opérations atomiques via des scripts Lua pour l'acquisition et la libération, tout en employant une validation de propriété basée sur la valeur et une expiration TTL (Time-To-Live) pour éviter les interblocages. Le projet offre des fonctionnalités de coordination distribuée et de synchronisation d'applications, utilisant une stratégie de réessai côté client pour gérer les délais d'attente lors de l'acquisition de ressources.

Bee-queue est un système de traitement en arrière-plan pour Node.js qui utilise Redis pour la mise en file d'attente des travaux et la persistance. Il est conçu pour décharger les tâches lourdes du thread d'exécution principal vers des travailleurs en arrière-plan afin de maintenir la réactivité de l'application. Le projet fournit un traitement distribué des travaux, permettant aux nœuds de travail de s'exécuter sur plusieurs processus pour gérer de grands volumes de tâches simultanément. Il garantit une exécution fiable des tâches grâce à des tentatives automatiques (retries) et à la récupération des processus bloqués. Sa surface de capacités couvre la planification asynchrone des tâches pour les travaux différés, le contrôle de la concurrence pour les nœuds de travail et la gestion du cycle de vie des travaux. Il inclut des outils pour surveiller la santé de la file d'attente, suivre la progression des travaux et récupérer les résultats en fonction de l'état du travail. Le système prend en charge la mise en file d'attente en masse pour réduire la surcharge réseau et permet des identifiants de travail personnalisés ainsi que des stratégies de backoff configurables pour les tâches échouées.

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

RavenDB is a multi-model NoSQL document database designed for high-performance, ACID-compliant data storage. It persists structured information as schema-flexible JSON documents and utilizes a unit-of-work session pattern to track entity changes and batch modifications into atomic transactions. The platform is built on a distributed architecture that supports horizontal scaling through sharding and ensures high availability via multi-node, master-to-master cluster replication. The database distinguishes itself through a self-optimizing query engine that automatically creates and maintains ind

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