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Showing 4 open source projects for "script php"

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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.
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  • 1
    Java based screenplay (movie script) editor and colaboration tool with a graphical interface (WYSIWYG) to create and/or edit scripts. Export in XML, PDF, XHTML and other formats. En español.
    Downloads: 0 This Week
    Last Update:
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  • 2
    A very light weight, full featured, multi language, WYSIWYG HTML Editor in Browser written in Java Script, DHTML, PHP, and ASP. Designed to be used wherever a Rich Text is needed.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Wiki Text Formatting Engine (WTF Engine) converts simple text into HTML. It will run on any platform using a variety of languages such as PHP, Perl, JavaScript and VB Script. It is intended to be a library used in other software packages.
    Downloads: 0 This Week
    Last Update:
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  • 4
    is the coolest web-based content and script editor. It has support for html, xhtml, xml, javascript, php, stylesheets, filters and much more.
    Downloads: 0 This Week
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  • Cloud data warehouse to power your data-driven innovation Icon
    Cloud data warehouse to power your data-driven innovation

    BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

    BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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