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4 रिपॉजिटरी

Awesome GitHub RepositoriesStream Processors

Toolkits for reactive programming and the transformation of data streams.

Explore 4 awesome GitHub repositories matching data & databases · Stream Processors. Refine with filters or upvote what's useful.

Awesome Stream Processors GitHub Repositories

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  • avelino/awesome-goavelino का अवतार

    avelino/awesome-go

    175,576GitHub पर देखें↗

    This project serves as a comprehensive language ecosystem index, functioning as a centralized, community-curated directory for the Go programming language. It organizes a vast landscape of software components, libraries, and development tools into a structured, navigable hierarchy, enabling developers to efficiently discover resources tailored to specific functional domains. The repository distinguishes itself through a decentralized contribution model, where community-driven updates ensure the index remains current with the rapidly evolving software landscape. Beyond simple resource listing,

    Streamlines reactive programming and data stream transformations using specialized toolkits.

    Goawesomeawesome-listgo
    GitHub पर देखें↗175,576
  • reactivex/rxkotlinReactiveX का अवतार

    ReactiveX/RxKotlin

    7,041GitHub पर देखें↗

    RxKotlin is a reactive programming library and asynchronous stream processor that provides Kotlin language extensions for composing event-based data streams. It serves as a set of Kotlin bindings for RxJava, allowing developers to transform, filter, and flatten sequences of data emitted over time. The library focuses on integrating RxJava patterns into Kotlin projects by applying language-specific conventions and idioms. It utilizes extension functions to simplify reactive programming patterns, reduce boilerplate, and optimize workflows within the reactive ecosystem. The toolkit covers a bro

    Acts as a toolkit for the transformation, filtering, and flattening of asynchronous data streams.

    Kotlinkotlinrxjava
    GitHub पर देखें↗7,041
  • reactivex/rxpyReactiveX का अवतार

    ReactiveX/RxPY

    5,014GitHub पर देखें↗

    RxPY is a functional reactive programming library and a ReactiveX observable library for Python. It serves as an asynchronous stream processor and event-driven coordination framework used to build data pipelines that react to changes in state or streams of events over time. The library provides a toolkit for composing asynchronous and event-based programs using observable sequences and operators. It distinguishes itself through the use of configurable schedulers to manage concurrency, timing, and subscription lifecycles. The project covers a wide range of stream processing capabilities, incl

    Provides a toolkit for the reactive transformation and combination of multiple asynchronous data streams.

    Python
    GitHub पर देखें↗5,014
  • declarativehub/bondDeclarativeHub का अवतार

    DeclarativeHub/Bond

    4,202GitHub पर देखें↗

    Bond is a Swift data binding framework designed to synchronize data models and user interface elements through one-way and two-way value flows. It functions as a reactive suite for monitoring collection changes, transforming data streams, and bridging user interface events to data models. The project provides a reactive bridge that transforms user interface interactions and protocol delegate method calls into observable signals. It includes a collection observer to monitor changes in arrays and a functional data stream processor that applies operators to modify or combine values before they r

    Provides a toolkit of operators for the reactive transformation of data streams before they reach the UI.

    Swift
    GitHub पर देखें↗4,202
  1. Home
  2. Data & Databases
  3. Data Processing Pipelines
  4. Data Transformation
  5. Stream and Pipeline Orchestration
  6. Stream Processors