The Graphs plugin for Obsidian enables users to create interactive mathematical graphs directly from YAML code within their notes. It supports a variety of graph types such as circles, vector fields, and derivative graphs, with the added benefit of 3D graph rendering. The plugin allows for the export of graphs as SVG files and includes syntax highlighting. It is fully compatible with Obsidian's themes and provides support for complex mathematical functions, making it a versatile tool for visualizing data and functions. With features like interactivity and customization options, users can easily enhance their notes with visual representations of mathematical concepts.

The Charts View plugin enables users to create a wide variety of interactive data visualizations within Obsidian. It supports multiple chart types, including bar, pie, radar, treemap, word cloud, dual-axis, and organization tree graphs. Users can generate charts from CSV files, internal note data, or Dataview queries. The plugin provides a chart wizard for easy configuration and customization of chart elements, such as colors, labels, and tooltips. With options for importing CSV files, combining multiple datasets, and enabling search interactions within charts, users can create dynamic and insightful visualizations. Charts View also integrates seamlessly with the Dataview plugin, allowing users to visualize note data directly. This plugin is ideal for those looking to transform their notes into visually appealing and interactive data dashboards within Obsidian.

The Plot Vectors and Graphs plugin integrates FunctionPlot to visualize mathematical and physics concepts within Obsidian. It enables users to plot multiple graphs and vectors directly from LaTeX equations. Users can generate detailed visualizations, including color-coded graphs, vector addition, and calculated values, with commands like 'Generate Graph' and 'Draw Vector.' The plugin supports customization options such as axis labels, graph titles, dimensions, grid visibility, and zoom functionality, making it a powerful tool for academic or professional users working with mathematical data.