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46 repositorios

Awesome GitHub RepositoriesRuntime Data Exchange

Mechanisms for sending and receiving information between active workflows without interrupting execution.

Distinct from Data Exchange Protocols: Distinct from data exchange protocols: focuses on runtime communication between active workflow processes rather than low-level memory sharing.

Explore 46 awesome GitHub repositories matching data & databases · Runtime Data Exchange. Refine with filters or upvote what's useful.

Awesome Runtime Data Exchange GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • prefecthq/prefectAvatar de PrefectHQ

    PrefectHQ/prefect

    21,640Ver en GitHub↗

    Prefect is a workflow orchestration platform designed to define, schedule, and monitor complex data pipelines as Python code. It functions as a container-native engine that wraps individual tasks in isolated environments, ensuring consistent dependencies and resource allocation across diverse infrastructure. By utilizing a state-machine-based orchestration model, the system tracks execution progress through discrete transitions and persistent event logs to maintain reliable and observable task processing. The platform distinguishes itself through a decoupled worker-API architecture, which sep

    Facilitates data exchange between active workflows or external processes without interrupting the execution flow.

    Pythonautomationdatadata-engineering
    Ver en GitHub↗21,640
  • flutter/samplesAvatar de flutter

    flutter/samples

    19,172Ver en GitHub↗

    This is a comprehensive library of code examples and reference implementations for building cross-platform user interfaces with Flutter. The project provides a collection of demo applications and guides designed to illustrate the implementation of design patterns, animation techniques, and testing workflows. The repository features specific demonstrations for native integration, including examples of embedding modules into existing native applications, using platform channels, and bridging native code with the framework. It also serves as an animation reference, providing implementations for

    Communicates between different frontend frameworks using custom events and interop methods to share state controllers.

    Dart
    Ver en GitHub↗19,172
  • felixge/node-mysqlAvatar de felixge

    felixge/node-mysql

    18,621Ver en GitHub↗

    This project is a pure JavaScript database driver for Node.js that implements the native MySQL binary protocol. It serves as a comprehensive connector for managing persistent network links to MySQL servers, enabling applications to execute queries, manage transactions, and handle complex data operations without requiring external middleware. The driver distinguishes itself through its integrated support for connection pooling and distributed database routing. It maintains managed sets of reusable network sockets to optimize resource usage under high request volumes, while simultaneously provi

    Processes database operations using non-blocking callbacks to handle concurrent requests without stalling the main application thread.

    JavaScript
    Ver en GitHub↗18,621
  • egametang/etAvatar de egametang

    egametang/ET

    9,813Ver en GitHub↗

    ET is a C# game server framework and distributed actor model runtime designed for large-scale multiplayer environments. It provides a comprehensive toolkit for building distributed game backends, incorporating a multiplayer network transport layer and a specialized suite for game AI and pathfinding. The framework is distinguished by its use of a distributed actor model to scale processing across multiple threads and servers, utilizing isolated actors for state management and messaging. It features a unified codebase architecture that allows shared logic between the server and client, enabling

    Enables isolated execution units to exchange data via a dedicated messaging mechanism to coordinate distributed tasks.

    C#actorc-sharpdotnet
    Ver en GitHub↗9,813
  • webdriverio/webdriverioAvatar de webdriverio

    webdriverio/webdriverio

    9,795Ver en GitHub↗

    WebDriverIO is a Node.js test automation framework used for automating functional tests across web browsers and mobile applications. It acts as a WebDriver protocol client that manages remote browser sessions and executes commands against WebDriver and Appium servers to perform end-to-end testing. The framework is distinguished by its ability to control both native and hybrid mobile applications and its support for running automated suites across local machines, remote grids, and cloud device providers. It includes specialized capabilities for coordinating multi-browser interactions and estab

    Facilitates the exchange of plain objects between the main process and worker threads using unique string keys.

    TypeScript
    Ver en GitHub↗9,795
  • deepseek-ai/deepepAvatar de deepseek-ai

    deepseek-ai/DeepEP

    9,736Ver en GitHub↗

    DeepEP is a distributed model accelerator and expert-parallel communication library designed to optimize the training and inference of large-scale neural networks. It provides specialized GPU communication kernels and a remote GPU memory interface to facilitate high-throughput data exchange between hardware nodes. The system utilizes dynamic kernel generation to compile optimized GPU kernels during execution, removing the need for separate installation compilation steps. It implements virtual-lane traffic isolation to prevent interference between different data streams and employs routing met

    Facilitates high-throughput data exchange between GPUs for the dispatch and combine phases of MoE models.

    Cuda
    Ver en GitHub↗9,736
  • microsoft/windows-universal-samplesAvatar de microsoft

    microsoft/Windows-universal-samples

    9,696Ver en GitHub↗

    This repository is a comprehensive collection of reference implementations and sample libraries for the Universal Windows Platform. It provides practical examples of how to use Windows Runtime APIs to build cross-device applications, including detailed guidance on XAML-based declarative user interfaces and DirectX-integrated rendering. The project distinguishes itself by providing a wide array of hardware integration suites, covering low-level communication with USB, Serial, I2C, SPI, and GPIO peripherals. It includes specialized implementations for mixed reality holographic rendering, advanc

    Enables the execution of scripts within a web view to retrieve results and handle events from hosted scripts.

    JavaScript
    Ver en GitHub↗9,696
  • actix/actixAvatar de actix

    actix/actix

    9,223Ver en GitHub↗

    Actix is a Rust actor framework and concurrent programming toolkit designed for building applications that manage state through an asynchronous messaging system. It provides a model where independent actors serve as autonomous units of state and logic, communicating via strongly typed messages sent to unique addresses. The framework distinguishes itself by isolating state within these actors, allowing internal data to be mutated safely during message handling without the use of locks or mutexes. It employs an asynchronous mailbox system to buffer incoming requests and uses supervision strateg

    Enables strongly typed data exchange between isolated actors using unique addresses.

    Rustactixactoractor-model
    Ver en GitHub↗9,223
  • wasm-bindgen/wasm-bindgenAvatar de wasm-bindgen

    wasm-bindgen/wasm-bindgen

    9,042Ver en GitHub↗

    wasm-bindgen is a glue code generator and interoperability tool that facilitates high-level communication and data exchange between compiled Rust modules and JavaScript environments. It functions as a memory bridge and type definition generator, allowing the exchange of complex data types and the calling of functions across execution boundaries. The project distinguishes itself by automating the conversion of data types and function signatures using attribute-based bindings. It generates the necessary JavaScript and WebAssembly wrappers to manage linear memory mapping and creates automatic Ty

    Enables the exchange of complex objects, strings, and classes beyond simple numeric types.

    Rust
    Ver en GitHub↗9,042
  • lightningnetwork/lndAvatar de lightningnetwork

    lightningnetwork/lnd

    8,154Ver en GitHub↗

    Lnd is a full implementation of the Lightning Network protocol, functioning as a Bitcoin Layer 2 daemon that manages payment channels and settles transactions on the Bitcoin blockchain. It serves as an off-chain payment processor and a cryptographic wallet manager, enabling the execution of instant, scalable transactions through a network node. The project distinguishes itself through a focus on secure node networking and programmatic control. It provides gRPC and REST API servers for automating payment workflows and utilizes macaroon-based authorization to delegate granular permissions via c

    Distributes work across actors using configurable strategies to balance computational load.

    Gobitcoinblockchaincryptocurrency
    Ver en GitHub↗8,154
  • chrisknott/eelAvatar de ChrisKnott

    ChrisKnott/Eel

    6,748Ver en GitHub↗

    Eel is a framework for creating desktop applications using a Python backend and a web-based frontend. It acts as a bidirectional bridge between Python and JavaScript, allowing developers to build graphical user interfaces with HTML and JavaScript that communicate with local system logic. The project facilitates two-way communication by enabling the exposure of Python functions to the browser and allowing the backend to trigger JavaScript functions. It uses a local server to render web interfaces as standalone desktop windows and provides tools to bundle the Python code and web assets into a s

    Enables retrieving values from another process by pausing execution until the result is received.

    Python
    Ver en GitHub↗6,748
  • ml5js/ml5-libraryAvatar de ml5js

    ml5js/ml5-library

    6,581Ver en GitHub↗

    ml5-library is a JavaScript machine learning library that functions as a browser-based inference engine. It provides a high-level wrapper for implementing neural networks and data models, allowing users to execute machine learning predictions directly on the client side. The library simplifies the integration of machine learning into web applications and creative coding projects by removing the requirement for deep mathematical expertise. It specifically enables web-based image classification through the use of pretrained deep learning models to identify and label objects within images. The

    Implements asynchronous callback functions to handle results from long-running model predictions without blocking the browser.

    JavaScript
    Ver en GitHub↗6,581
  • misp/mispAvatar de MISP

    MISP/MISP

    6,360Ver en GitHub↗

    MISP is an open-source threat intelligence sharing platform designed for collecting, storing, and distributing structured threat indicators and intelligence. At its core, it provides a distributed synchronization protocol for transferring events between instances, an attribute-based correlation engine that links matching indicators across events, and a REST API with an OpenAPI specification for programmatic access to threat data. The platform uses formal data formats for JSON, taxonomy, galaxy, and object templates to enable compatibility across tools and communities. The platform distinguish

    Implements bidirectional TAXII exchange for receiving and pushing threat intelligence data.

    PHP
    Ver en GitHub↗6,360
  • ponylang/ponycAvatar de ponylang

    ponylang/ponyc

    6,133Ver en GitHub↗

    Pony is an open-source, actor-model, capabilities-secure, high performance programming language

    Provides exclusive asynchronous message passing between actors, with the runtime handling message queues and delivery.

    Ponyactor-modelpony-languagepony-source
    Ver en GitHub↗6,133
  • hashicorp/go-pluginAvatar de hashicorp

    hashicorp/go-plugin

    6,019Ver en GitHub↗

    go-plugin es un framework para implementar arquitecturas de plugins donde las extensiones se ejecutan como procesos separados y se comunican a través de un sistema de plugins RPC de Go. Funciona como una librería de comunicación entre procesos (IPC) y gestor de ciclo de vida que permite a las aplicaciones anfitrionas descubrir, lanzar y monitorear plugins binarios externos. El framework permite sistemas de plugins entre lenguajes, permitiendo que los plugins escritos en diferentes lenguajes se integren con un anfitrión a través de protocolos RPC estandarizados. Cuenta con un puente RPC bidireccional que permite tanto al anfitrión como al plugin intercambiar implementaciones de interfaz para el intercambio de datos complejos y callbacks. El sistema proporciona aislamiento de procesos ejecutando plugins como subprocesos independientes, asegurando que los bloqueos de los plugins no terminen la aplicación anfitriona. Cubre la seguridad mediante autenticación TLS mutua y verificación de integridad, así como la orquestación del ciclo de vida, incluida la reconexión de procesos con estado para mantener la conectividad durante las actualizaciones del anfitrión. Las capacidades adicionales incluyen descubrimiento binario, versionado de protocolos y la sincronización de registros y flujos de salida del plugin de vuelta al anfitrión.

    Manages the exchange of complex arguments and return values through specialized connections and raw data streams.

    Go
    Ver en GitHub↗6,019
  • ruby-concurrency/concurrent-rubyAvatar de ruby-concurrency

    ruby-concurrency/concurrent-ruby

    5,830Ver en GitHub↗

    Concurrent Ruby is a comprehensive concurrency toolkit for the Ruby language that provides thread-safe data structures, synchronization primitives, and asynchronous execution patterns. It implements core concurrency abstractions including an actor model framework where isolated actors communicate through asynchronous message passing, a future and promise system for composing non-blocking operations, and thread pool executors that manage reusable worker threads for concurrent task execution. The library distinguishes itself through a broad set of coordination mechanisms that go beyond basic th

    Encapsulates state in actors that communicate exclusively through asynchronous messages.

    Ruby
    Ver en GitHub↗5,830
  • kvcache-ai/mooncakeAvatar de kvcache-ai

    kvcache-ai/Mooncake

    5,594Ver en GitHub↗

    Mooncake es una plataforma de servicio de modelos de lenguaje grandes (LLM) desagregados y un almacén distribuido de clave-valor diseñado para infraestructura de inferencia de alto rendimiento. Funciona como un orquestador de memoria GPU y un sistema de gestión de caché KV que agrupa y transfiere cachés de clave-valor a través de clústeres para acelerar la inferencia. El sistema se distingue por separar las fases de prellenado (prefill) y decodificación (decode) de la inferencia en clústeres de hardware distintos para optimizar la utilización de recursos. Utiliza una caché distribuida RDMA de alto rendimiento con transferencias de copia cero para mover datos entre nodos de cómputo, evitando la CPU para reducir la latencia y la sobrecarga. La plataforma cubre áreas de capacidad amplias, incluyendo agrupación de memoria distribuida, enrutamiento de memoria de aceleradores mediante CXL y descarga de almacenamiento multinivel a SSDs. Gestiona el estado del clúster a través de servicios de coordinación de metadatos e implementa gobernanza de recursos mediante protección de objetos basada en arrendamiento y desalojo de caché basado en marcas de agua. El software está empaquetado para despliegue en contenedores con soporte para redes de host y mapeo de dispositivos de hardware.

    Facilitates high-bandwidth data exchange between specialized AI accelerators using optimized communication paths.

    C++
    Ver en GitHub↗5,594
  • jasonchenlijian/fastbleAvatar de Jasonchenlijian

    Jasonchenlijian/FastBle

    5,496Ver en GitHub↗

    FastBle es un framework de desarrollo para Android diseñado para simplificar el escaneo, la conexión y el intercambio de datos con dispositivos Bluetooth Low Energy (BLE). Proporciona una capa de transporte estructurada para gestionar la comunicación y un sistema dedicado para descubrir periféricos cercanos. El framework cuenta con un gestor de conexiones múltiples que mantiene enlaces simultáneos a varios periféricos y emplea lógica de reconexión automatizada para garantizar la estabilidad. Incluye una capa de transporte de datos que maneja la división automática de paquetes para payloads que exceden los límites de transmisión estándar. La librería cubre el descubrimiento de dispositivos mediante filtros de nombre y dirección, monitoreo de intensidad de señal y la configuración de parámetros de transmisión para optimizar el rendimiento de datos.

    Facilitates data transfer via BLE reads and writes with automatic packet splitting.

    Javaandroidbleblue
    Ver en GitHub↗5,496
  • blackboardsh/electrobunAvatar de blackboardsh

    blackboardsh/electrobun

    5,534Ver en GitHub↗

    Electrobun is a desktop application framework and webview-based GUI toolkit used for building cross-platform desktop apps. It provides a TypeScript-based runtime and a native system webview to create interfaces that integrate embedded browser views with host-process logic. The project features a native GPU integration layer with direct FFI bindings, allowing for high-performance GPU surfaces and compute workloads to run within a desktop application. It also includes an inter-process communication bridge using a typed RPC system to exchange data and execute functions between the native backend

    Enables the native process to execute arbitrary JavaScript within the embedded webview via a dispatch mechanism.

    C++
    Ver en GitHub↗5,534
  • asynkron/protoactor-goAvatar de asynkron

    asynkron/protoactor-go

    5,469Ver en GitHub↗

    protoactor-go is a framework for building concurrent and distributed systems in Go using the actor model. It provides a distributed actor system that enables isolated entities to communicate via asynchronous messaging and share state across a cluster. The framework implements a multi-language actor protocol, allowing interoperability between actors written in Go, C#, and Java. It further supports a virtual actor implementation, where actors are automatically instantiated across a network based on a unique identity. The system includes a supervision model for managing actor lifecycles and fau

    Implements a multi-language actor protocol allowing seamless communication between actors written in Go, C#, and Java.

    Goactor-modelactorsakka
    Ver en GitHub↗5,469
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Explorar subetiquetas

  • Accelerator-to-Accelerator CommunicationHigh-bandwidth data exchange paths specifically for transferring data between AI hardware accelerators. **Distinct from Expert Data Exchange:** Focuses on the generic high-bandwidth transport between accelerators, whereas Expert Data Exchange is specific to MoE dispatch/combine tasks.
  • Actor Messaging18 sub-etiquetasDedicated communication mechanisms for exchanging data between isolated actors. **Distinct from Runtime Data Exchange:** Specific to actor-model message passing rather than general runtime workflow data exchange.
  • Asynchronous Callbacks1 sub-etiquetaNon-blocking data exchange mechanisms using callbacks to handle return values. **Distinct from Runtime Data Exchange:** Distinct from Runtime Data Exchange: specifically addresses the asynchronous callback pattern for return values.
  • Asynchronous Model CallbacksNon-blocking execution patterns specifically for returning results from long-running machine learning predictions. **Distinct from Asynchronous Callbacks:** Distinct from general data exchange callbacks by focusing on ML inference result triggers.
  • BLE Data Exchange1 sub-etiquetaMechanisms for reading and writing data specifically over Bluetooth Low Energy. **Distinct from Runtime Data Exchange:** Specializes runtime data exchange for BLE protocols rather than general workflow communication.
  • Complex Data Type ExchangeExchange of high-level objects, strings, and classes between different execution environments. **Distinct from Runtime Data Exchange:** Focuses on the complexity of the data types being exchanged rather than the timing or protocol of the exchange.
  • Expert Data ExchangeHigh-throughput data exchange mechanisms specifically for dispatch and combine tasks in expert-parallel models. **Distinct from Runtime Data Exchange:** Specializes runtime data exchange for the high-throughput requirements of Mixture-of-Experts GPU communication.
  • Expert-Parallel Data ExchangeDistributed data movement across multiple GPUs optimized for large-scale expert-parallel training. **Distinct from Runtime Data Exchange:** Focuses on the GPU-to-GPU movement required for expert parallelism rather than general runtime workflow communication.
  • Synchronous Request-ResponseBlocking data exchange mechanisms that pause execution until a result is returned. **Distinct from Runtime Data Exchange:** Distinct from Runtime Data Exchange: specifically addresses blocking synchronous communication.
  • TAXII ExchangesExchanges threat intelligence data using the TAXII protocol, receiving STIX files and pushing events to TAXII servers. **Distinct from Runtime Data Exchange:** Distinct from Runtime Data Exchange: focuses on the TAXII protocol for threat intelligence exchange, not runtime workflow communication.
  • WebView Script InteroperabilityExchange of data and events between native application code and JavaScript executing within a web view. **Distinct from Runtime Data Exchange:** Specifically targets the boundary between native runtime and embedded web scripts, not general workflow data exchange.