Showing 4 open source projects for "data extraction"

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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: 30 This Week
    Last Update:
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  • 2
    Extractous

    Extractous

    Fast and efficient unstructured data extraction

    Extractous is a Rust-based unstructured data extraction library focused on fast local parsing of documents and other content-heavy files. Its purpose is to extract text and metadata efficiently from formats such as PDF, Word, HTML, email archives, images, and more, without depending on external APIs or separate parsing servers. The project emphasizes performance and low memory usage, and its maintainers describe it as a local-first alternative to heavier extraction stacks. ...
    Downloads: 1 This Week
    Last Update:
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  • 3
    warp

    warp

    A super-easy, composable, web server framework for warp speeds

    The fundamental building block of warp is the Filter, they can be combined and composed to express rich requirements on requests. A Filter in warp is essentially a function that can operate on some input, either something from a request, or something from a previous Filter, and returns some output, which could be some app-specific type you wish to pass around, or can be some reply to send back as an HTTP response. That might sound simple, but the exciting part is the combinators that exist...
    Downloads: 2 This Week
    Last Update:
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  • 4
    Spider

    Spider

    High-performance Rust web crawler and scraper for large-scale data

    ...Spider can operate concurrently across many pages, allowing it to gather large datasets in a short period of time. Spider also provides mechanisms for subscribing to crawl events so developers can process page data such as URLs, status codes, or HTML content as it is discovered. It supports advanced capabilities such as headless browser rendering, background crawling tasks, and configurable rules that control crawl depth or ignored paths. These capabilities make the project suitable for building search indexers, data extraction pipelines, & SEO analysis tools.
    Downloads: 6 This Week
    Last Update:
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