Showing 12 open source projects for "event processing"

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  • 1
    Siddhi Core Libraries

    Siddhi Core Libraries

    Stream Processing and Complex Event Processing Engine

    Fully open source, cloud-native, scalable, micro streaming, and complex event processing system capable of building event-driven applications for use cases such as real-time analytics, data integration, notification management, and adaptive decision-making. Event processing logic can be written using Streaming SQL queries via graphical and source editors, to capture events from diverse data sources, process and analyze them, integrate with multiple services and data stores, and publish output to various endpoints in real time. ...
    Downloads: 2 This Week
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  • 2
    GH Archive

    GH Archive

    GH Archive is a project to record the public GitHub timeline

    GH Archive collects public GitHub activity and preserves it as a historical dataset for analysis. It polls GitHub’s event feed and groups the raw responses into compressed hourly JSON archives. The records cover actions such as commits, forks, issue activity, comments, and repository membership changes. Researchers can download specific hours, days, or longer periods with ordinary HTTP tools and process the events in their own systems. The dataset is also published through Google BigQuery...
    Downloads: 0 This Week
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  • 3
    Task Scheduler

    Task Scheduler

    Cooperative multitasking for Arduino, ESPx, STM32, nRF and more

    Cooperative multitasking for Arduino, ESPx, STM32 and other microcontrollers. A lightweight implementation of cooperative multitasking (task scheduling). An easier alternative to preemptive programming and frameworks like FreeRTOS. You mostly do not need to worry about pitfalls of concurrent processing (races, deadlocks, livelocks, resource sharing, etc.). The fact of cooperative processing takes care of such issues by design.
    Downloads: 0 This Week
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  • 4
    EasyExcel

    EasyExcel

    Lightweight Java library developed by Alibaba for reading and writing

    EasyExcel is a Java library focused on reading and writing Excel files with very low memory usage, making it suitable for large datasets that overwhelm traditional APIs. It uses streaming/event-driven parsing to avoid loading entire workbooks into memory, and it maps rows to Java objects via simple annotations. Writers support multiple sheets, custom styles, merged cells, and template-based filling so production reports remain maintainable. The API emphasizes developer ergonomics: callbacks...
    Downloads: 3 This Week
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  • 5
    G4P

    G4P

    GUI controls for Processing

    This project is about developing a set of 2D GUI controls for the Processing language. V4.2 is compatible with Processing 3 V3.5.4 is the last version compatible with Processing 2.
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    Downloads: 37 This Week
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  • 6
    go-coffeeshop

    go-coffeeshop

    A practical event-driven microservices demo

    go-coffeeshop is a sample application that demonstrates how to build scalable and maintainable systems using Go, following clean architecture principles and domain-driven design concepts. It simulates a coffee shop system, providing a realistic context for implementing business logic, APIs, and data handling. The project is structured to separate concerns clearly, with layers for domain logic, application services, infrastructure, and interfaces. It showcases best practices for building...
    Downloads: 0 This Week
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  • 7
    Highland

    Highland

    High-level streams library for Node.js and the browser

    Highland is a JavaScript library designed to simplify working with streams and asynchronous data flows by providing a functional programming interface on top of Node.js streams. It allows developers to process data in a declarative and composable way, treating streams as sequences that can be transformed using familiar functional patterns such as map, filter, reduce, and flatMap. The library abstracts away much of the complexity of handling backpressure and asynchronous callbacks, enabling...
    Downloads: 0 This Week
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  • 8
    EventMachine

    EventMachine

    EventMachine, fast, simple event-processing library for Ruby programs

    EventMachine is an event-driven I/O and lightweight concurrency library for Ruby. It provides event-driven I/O using the Reactor pattern, much like JBoss Netty, Apache MINA, Python's Twisted, Node.js, libevent and libev. Extremely high scalability, performance and stability for the most demanding production environments. An API that eliminates the complexities of high-performance threaded network programming, allowing engineers to concentrate on their application logic. This unique...
    Downloads: 0 This Week
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  • 9
    ButterKnife

    ButterKnife

    Bind Android views and callbacks to fields and methods

    ButterKnife is an annotation-based view binding library for Android that reduces boilerplate in Activities, Fragments, and custom views. Developers replace repetitive findViewById calls with BindView fields and define UI event handlers using annotations like @OnClick, with the library generating efficient binding code at compile time. Because it relies on annotation processing, there’s no reflection at runtime, keeping startup paths lean and predictable. The generated bind/unbind lifecycle helps avoid memory leaks by clearing references when views are destroyed. ...
    Downloads: 3 This Week
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  • 10

    Easy Simple Network Library

    A MINA-like, cross-platform C++ network library based on boost::asio

    The full name of "esnetwork" is "easy simple network library". It is a cross-platform C++ network library based on boost::asio (http://think-async.com). It aims to be a simple, easy-to-use and full-featured networking framework, like MINA in Java.
    Downloads: 0 This Week
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  • 11
    AnotherFSM

    AnotherFSM

    State machines for Java, FSM.

    AnotherFSM is yet another implementation of state machines, a library for Java programming language.
    Downloads: 0 This Week
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  • 12
    Modules for developing, configuring and running a computation based on function blocks entirely in Python. Function block based computation is a data, event and state driven approach to data processing.
    Downloads: 0 This Week
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