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io.github.llmsresearch/paperbanana

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    • A
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      Provides machine learning researchers with tools for creating publication-quality scientific visualizations, statistical plots, and 2D data representations. It streamlines the research workflow by enabling AI assistants to generate complex figures from CSV, JSON, or direct data inputs.
      9
      MIT
    • A
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      Enables LLMs to draw interactive diagrams (architecture, sequence, class) inside the editor, with clickable nodes that jump to source code.
      9
      MIT
    • A
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      Enables AI assistants to generate publication-quality bioinformatics visualizations (volcano plots, PCA, heatmaps, etc.) directly from raw biological data.
      MIT
    • F
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      Enables AI coding assistants to turn natural-language descriptions of systems and data into editable, auto-laid-out Excalidraw diagrams across 25 types — from architecture and sequence diagrams to Gantt charts and scatter plots — plus optionally persist the architecture as a queryable, version-controlled knowledge graph. Runs fully offline with export to SVG and PNG, and diagrams can be revised afterward in natural language.
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    • F
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      quality
      A
      maintenance
      Enables AI coding tools to turn architecture and other structured descriptions into auto-laid-out, hand-drawn Excalidraw diagrams across 25 diagram types, including architecture, flowcharts, sequence, ER, swimlanes, timelines, Gantt, and charts. It also supports natural-language revision, SVG/PNG export, and optionally a queryable knowledge graph of the system.
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