staticdash 2026.7

A lightweight static HTML dashboard generator with Plotly and pandas support.

staticdash

staticdash is a lightweight Python module for creating static, multi-page HTML dashboards. It supports:

• Plotly plots: Interactive, responsive visualizations
• Matplotlib figures: Static plots and charts
• Pandas DataFrames: Sortable, searchable tables
• Rich text formatting: Full Markdown support including bold, italic, strikethrough, lists, links, tables, and blockquotes
• Math expressions: LaTeX math rendering with MathJax (inline $...$ and display $$...$$)
• Mermaid diagrams: Flowcharts, sequence diagrams, state diagrams, and more
• File downloads: Add download buttons for any file
• Multi-page navigation: Hierarchical sidebar with subpages
• Custom styling: Easily customize CSS and JavaScript
• Air-gapped support: All assets vendored for offline environments

Installation

pip install staticdash 

Features

Content Types

• Add Plotly figures: page.add(fig) - Interactive plots with zoom, pan, hover tooltips
• Add Matplotlib figures: page.add(fig) - Static plots converted to PNG
• Add tables: page.add(df) - Pandas DataFrames rendered as sortable, searchable tables
• Add text: page.add("Your text") - Full Markdown support including:
  • Bold, italic, strikethrough
  • Lists (ordered and unordered)
  • Links, blockquotes, code blocks
  • Tables in Markdown syntax
• Add headers: page.add_header("Title", level=2) - Markdown headers (h1-h6)
• Add math: Use $inline math$ or $$display math$$ for LaTeX expressions
• Add diagrams: Use ```mermaid code blocks for flowcharts, sequence diagrams, state diagrams, gantt charts
• Add downloads: page.add_download("path/to/file", "Label") - File download buttons

Layout & Styling

• Sidebar navigation: Fixed sidebar with hierarchical pages and subpages
• Responsive design: Works on desktop and mobile devices
• Custom styling: Edit assets/css/style.css for your own look
• Per-page HTML: Individual HTML files for each page plus combined dashboard

Air-Gapped Support

All external dependencies (Plotly, MathJax, Mermaid, Prism) are vendored during installation, ensuring dashboards work completely offline without internet access or CDN dependencies.

Live Demos

• Tutorial Dashboard - Comprehensive feature demonstration
• Directory Example - Multiple dashboard aggregation

Examples

The repository includes a comprehensive tutorial demonstrating all features:

Tutorial Dashboard: Run python tutorial.py to generate tutorial_output/index.html

The tutorial demonstrates:

• Basic page creation and navigation
• Text formatting with Markdown (bold, italic, strikethrough, lists, links, tables)
• Plotly and Matplotlib figures
• Pandas DataFrame tables
• Subpages and hierarchical navigation
• MathJax math expressions (inline and display)
• Mermaid diagrams (flowcharts, sequence diagrams, state diagrams)
• Directory class for aggregating multiple dashboards

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For the source code, see tutorial.py in this repository.