Showing 4 open source projects for "data capture framework"

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  • 1
    Scanopy

    Scanopy

    Clean network diagrams, One-time setup, zero upkeep

    Scanopy is a powerful multi-modal data capture and analysis toolkit that enables users to collect, process, and visualize structured and unstructured information from a variety of sources in a flexible pipeline. It is built to handle complex scanning tasks — such as OCR, document analysis, audio transcription, network data capture, and image extraction — while providing unified APIs and workflows that make managing heterogeneous data sources seamless. ...
    Downloads: 0 This Week
    Last Update:
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  • 2
    CocoIndex

    CocoIndex

    ETL framework to index data for AI, such as RAG

    ...It’s built for transparency, ease of use, and local control over your search data, distinguishing itself from closed, black-box systems. The tool is suitable for developers working on personal knowledge bases, AI search interfaces, or private LLM applications.
    Downloads: 7 This Week
    Last Update:
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  • 3
    Whirlwind

    Whirlwind

    Ridiculously fast, fully asynchronous, sharded hashmap for Rust

    Collection of thread-safe, asynchronous data structures. Whirlwind is a lightweight CSS framework focused on performance and simplicity, offering developers a minimal approach to styling web applications.
    Downloads: 0 This Week
    Last Update:
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  • 4
    Amadeus

    Amadeus

    Harmonious distributed data analysis in Rust

    Amadeus is a high-performance, distributed data processing framework written in Rust, designed to offer an ergonomic and safe alternative to tools like Apache Spark. It provides both streaming and batch capabilities, allowing users to work with real-time and historical data at scale. Thanks to Rust’s memory safety and zero-cost abstractions, Amadeus delivers performance gains while reducing the complexity and bugs common in large-scale data pipelines. ...
    Downloads: 3 This Week
    Last Update:
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