#graph-visualization
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  • 1.
    zettelkasten navigation
    a year ago by terrychenzw
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    Score: 55/100
    The Zettelkasten Navigation plugin offers an innovative way to navigate your digital Zettelkasten using Luhmann-style IDs and keyword indexes. It provides two custom graph views: the 'zk-index-graph-view' and the 'zk-local-graph-view,' which allow for a more structured visualization compared to standard graph views. This plugin brings the organization of Niklas Luhmann's system into Obsidian, helping users visualize chains of thought, starting points, and connections through unique note identifiers. It uses Mermaid.js for graph generation and supports various ID styles, including Luhmann's Folgezettel and Antinet. By integrating both the IDs and keyword indexes, it enables a more intuitive navigation and retrieval system for complex notes and ideas.
  • 2.
    packUp4AI
    a month ago by Jeffry
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    Score: 50/100
    The packUp4AI plugin helps you prepare meaningful context bundles from your notes for use with AI chatbots or large language models. Starting from the active note, it gathers linked notes up to a configurable depth and optionally includes backlinks. The collected notes are displayed in an interactive D3-based graph, where node size reflects word count, making relationships easy to understand. Along with visualization, it provides statistics like total and average word counts to gauge the size of the bundle. You can refine the process with settings such as excluded files, output filenames, and default collection parameters.
  • 3.
    Adjacency Matrix Maker
    4 years ago by SkepticMystic
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    Score: 43/100
    The Adjacency Matrix Maker plugin transforms your Obsidian graph into an adjacency matrix, offering a new perspective on the relationships between your notes. Each note is represented as a row and column in a grid, with colored cells indicating links between notes. The plugin provides features like pan, zoom, and tooltips to explore connections interactively. Folder-based color coding helps visualize organizational hierarchies, and users can save the matrix image for further analysis. Customizable settings, such as image scale and colors, make it easy to tailor the visualization to your needs, offering a powerful way to analyze your vault's structure.