Showing 4 open source projects for "linux text editor"

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    Asciidoctor PDF

    Asciidoctor PDF

    Asciidoctor PDF: A native PDF converter for AsciiDoc

    A fast text processor & publishing toolchain for converting AsciiDoc to HTML5, DocBook & more. Asciidoctor is a fast, open source, Ruby-based text processor for parsing AsciiDoc® into a document model and converting it to output formats such as HTML 5, DocBook 5, manual pages, PDF, EPUB 3, and other formats. Asciidoctor also has an ecosystem of extensions, converters, build plugins, and tools to help you author and publish content written in AsciiDoc.
    Downloads: 9 This Week
    Last Update:
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  • 2
    Learning-SICP

    Learning-SICP

    Collection of Chinese cultural projects and course learning materials

    Learning-SICP is a community project that localizes the MIT course “Structure and Interpretation of Computer Programs” (SICP) and curates complementary study materials for learners, especially Chinese-speaking Scheme/Lisp students. It focuses on translating the official lecture subtitles into Chinese while preserving the original English content for reference, providing an approachable path to a classic foundational course in computer science. The repository organizes translated subtitles,...
    Downloads: 1 This Week
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  • 3
    Prawn

    Prawn

    Fast, Nimble PDF Writer for Ruby

    Prawn is a pure Ruby PDF generation library that provides a lot of great functionality while trying to remain simple and reasonably performant. Extensive text rendering support, including flowing text and limited inline formatting options. Comprehensive internationalization features, including full support for UTF-8 based fonts, right-to-left text rendering, fallback font support, and extension points for customizable text wrapping. Support for PDF outlines for document navigation. Low level...
    Downloads: 0 This Week
    Last Update:
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  • 4
    A collection of open source libraries and tools that provide solutions for common problems in processing Arabic text, especially in web applications. text normalization, phrase segmentation, text indexing, stop word lists, common spelling mistakes.
    Downloads: 2 This Week
    Last Update:
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