Showing 1 open source project for "void based linux"

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  • Cloud tools for web scraping and data extraction Icon
    Cloud tools for web scraping and data extraction

    Deploy pre-built tools that crawl websites, extract structured data, and feed your applications. Reliable web data without maintaining scrapers.

    Automate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
    Explore 10,000+ tools
  • DAT Freight and Analytics - DAT Icon
    DAT Freight and Analytics - DAT

    DAT Freight and Analytics operates DAT One truckload freight marketplace

    DAT Freight & Analytics operates DAT One, North America’s largest truckload freight marketplace; DAT iQ, the industry’s leading freight data analytics service; and Trucker Tools, the leader in load visibility. Shippers, transportation brokers, carriers, news organizations, and industry analysts rely on DAT for market trends and data insights, informed by nearly 700,000 daily load posts and a database exceeding $1 trillion in freight market transactions. Founded in 1978, DAT is a business unit of Roper Technologies (Nasdaq: ROP), a constituent of the Nasdaq 100, S&P 500, and Fortune 1000. Headquartered in Beaverton, Ore., DAT continues to set the standard for innovation in the trucking and logistics industry.
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    WhakerPy

    WhakerPy

    Whakerpy - A light web application framework

    Whakerpy is a simple library useful to create dynamic HTML content; it's a light web application framework. Create and manipulate HTML from the power of Python: - Easy to learn. Consistent, simple syntax. - Flexible and easy usage. - Create HTML pages dynamically - Can save as static files, and/or - Run locally with its httpd server and response "bakery" system. Access the documentation: <https://whakerpy.sourceforge.io>.
    Downloads: 6 This Week
    Last Update:
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