Showing 4 open source projects for "word processing for mac"

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  • 1
    gitsigns.nvim

    gitsigns.nvim

    Git integration for buffers

    Super fast git decorations implemented purely in lua/teal. Signs for added, removed, and changed lines. Asynchronous using luv. Navigation between hunks. Stage hunks (with undo). Preview diffs of hunks (with word diff). Customizable (signs, highlights, mappings, etc). Status bar integration. Git blame a specific line using virtual text. Hunk text object. Automatically follow files moved in the index. Live intra-line word diff. Ability to display deleted/changed lines via virtual lines....
    Downloads: 11 This Week
    Last Update:
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  • 2
    diff2html

    diff2html

    Pretty diff to html javascript library (diff2html)

    Each diff provides a comprehensive visualization of the code changes, helping developers identify problems and better understand the changes. Each diff features a line-by-line and side-by-side preview of your changes. All the code changes are syntax highlighted using highlight.js, providing more readability. Similar lines are paired, allowing for easier change tracking. We work hard to make sure you can have your diffs in a simple and flexible way. The AI community building the future....
    Downloads: 2 This Week
    Last Update:
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  • 3
    git-chglog

    git-chglog

    CHANGELOG generator implemented in Go (Golang)

    Package chglog implements the main logic for the CHANGELOG generate. git-chglog internally uses the git command to get data to include in the CHANGELOG. The basic steps are as follows. Get all the tags. Get the commits contained between tagA and tagB. Execute all tags corresponding to the tag query that was specified in Steps 1 and 2. The compiled docker images are maintained on quay.io. git-chglog requires configuration files and templates to generate a CHANGELOG. However, it is a waste of...
    Downloads: 0 This Week
    Last Update:
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  • 4
    Albedo

    Albedo

    A recommender system for discovering GitHub repos

    Albedo is an open-source recommender system aimed at helping developers discover GitHub repositories by learning from activity signals. It treats repositories and developers as a graph of interactions and applies large-scale matrix factorization to model affinities, with Apache Spark providing the distributed data processing. The project focuses on implicit feedback—stars, watches, and other engagement metrics—so it can build useful recommendations without explicit ratings. A reproducible...
    Downloads: 0 This Week
    Last Update:
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