2plot.dev Documentation
Custom Dash Components & Interactive Dashboards
⚠️ JavaScript Required: This application requires JavaScript to display interactive examples and documentation.
📚 For AI/LLM Access and Documentation:
This site provides comprehensive documentation in multiple formats optimized for both humans and AI assistants:
🎯 Custom Dash Components:
Currently Maintained:
- dash-improve-my-llms - llms.txt, sitemaps and crawler prerender for Dash
- dash-mui-charts - 13 MUI X chart components — line, bar, candlestick, pie, scatter
- dash-mui-scheduler - Event calendars, resource timelines and radial charts
- dash-nle-timeline - Frame-accurate non-linear-editor timeline and scene compositor
- dash-flex-layout - Docking layout with resizable panels and floating windows
- dash-dock-view - Dockable panel and grid layouts
- dash-flows - Node-based flow diagrams built on React Flow
- dash-excalidraw - Freeform drawing and notebook canvas
- dash-model-viewer - Interactive 3D models with AR support
- dash-pannellum - 360° panorama and virtual tour viewer
- dash-gauge - Gauge, knob, thermostat, joystick and display components
- dash-planet - Interactive orbital menu with spring animation
- dash-image-gallery - Responsive gallery with lightbox and thumbnails
- dash-insta-stories - Instagram-style stories with video support
- dash-emoji-mart - Emoji picker with custom emojis and themes
- dash-email - 15 email-safe components wrapping React Email patterns
- dash-widgetbot - Discord chat embedded in a Dash app
- dash-pos-printer - Cloud receipt printing via Star Micronics
- dash-documentation-boilerplate - The template every *.2plot.dev satellite runs on
✨ Key Features:
- Interactive Examples: Live demos with working code for every component
- Markdown Documentation: Easy-to-read guides with custom directives
- AI Chat Integration: Page-specific AI assistant with context awareness
- PyPI Statistics: Real-time download metrics across all packages
- Dark/Light Themes: Beautiful theme switching with automatic persistence
- Mobile Responsive: Optimized for all devices and screen sizes
- LLM-Friendly: Structured data formats for AI understanding
🔗 Resources:
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All packages are open source and available on PyPI. Star us on GitHub if you find our work useful! ⭐