Component Index
Every Dash component library documented on this site, with a link to each component's documentation and to its machine-readable llms.txt.
Every component below is an independently released, open-source Dash component library published to PyPI by Pip Install Python. Each has its own documentation page on this site with live, interactive examples, and each page has a Markdown twin at the same URL with /llms.txt appended.
There are 16 documented components.
Components
Dash Email
Email components for Dash wrapping React Email patterns — 15 email-safe components, table-based layouts, live preview, and sending via Resend.
- Documentation: https://2plot.dev/pip/dash_email
- Machine-readable: https://2plot.dev/pip/dash_email/llms.txt
- Dedicated docs site: https://dash-email-svmp.onrender.com — complete API reference and deeper examples
- Machine-readable: https://dash-email-svmp.onrender.com/llms.txt
- PyPI: dash-email —
pip install dash-email
Dash Flows
Interactive node-based flow diagrams with React Flow integration for Plotly Dash
- Documentation: https://2plot.dev/pip/dash_flows
- Machine-readable: https://2plot.dev/pip/dash_flows/llms.txt
- Dedicated docs site: https://dash-flows.onrender.com — complete API reference and deeper examples
- Machine-readable: https://dash-flows.onrender.com/llms.txt
- PyPI: dash-flows —
pip install dash-flows
Dock View
A flexible docking layout system for Dash with DashDockLayout, DashGridLayout, DashSplitLayout, and DashPaneLayout components.
- Documentation: https://2plot.dev/pip/dash_dock_view
- Machine-readable: https://2plot.dev/pip/dash_dock_view/llms.txt
- PyPI: dash-dock-view —
pip install dash-dock-view
Emoji Mart
Modern emoji picker component with custom emojis, themes, and extensive customization options.
- Documentation: https://2plot.dev/pip/dash_emoji_mart
- Machine-readable: https://2plot.dev/pip/dash_emoji_mart/llms.txt
- PyPI: dash-emoji-mart —
pip install dash-emoji-mart
Excalidraw
Notebook, Freeform, Drawing type of component.
- Documentation: https://2plot.dev/pip/dash_excalidraw
- Machine-readable: https://2plot.dev/pip/dash_excalidraw/llms.txt
- PyPI: dash-excalidraw —
pip install dash-excalidraw
Flex Layout
Advanced docking layout system with resizable panels, floating windows, and theme integration.
- Documentation: https://2plot.dev/pip/dash_flex_layout
- Machine-readable: https://2plot.dev/pip/dash_flex_layout/llms.txt
- PyPI: flexlayout-dash —
pip install flexlayout-dash
Gauge
A collection of gauge, knob, thermostat, joystick, and display components for Dash.
- Documentation: https://2plot.dev/pip/dash_gauge
- Machine-readable: https://2plot.dev/pip/dash_gauge/llms.txt
- PyPI: dash-gauge —
pip install dash-gauge
Image Gallery
Responsive image gallery component with lightbox, thumbnails, fullscreen, slideshow, and touch support
- Documentation: https://2plot.dev/pip/dash_image_gallery
- Machine-readable: https://2plot.dev/pip/dash_image_gallery/llms.txt
- PyPI: dash-image-gallery —
pip install dash-image-gallery
Insta Stories
Instagram and Snapchat style stories component with video support, custom renderers, and interactive controls.
- Documentation: https://2plot.dev/pip/dash_insta_stories
- Machine-readable: https://2plot.dev/pip/dash_insta_stories/llms.txt
- PyPI: dash-insta-stories —
pip install dash-insta-stories
Model Viewer
Embed interactive 3D models with AR support into Dash applications using Google's model-viewer.
- Documentation: https://2plot.dev/pip/dash_model_viewer
- Machine-readable: https://2plot.dev/pip/dash_model_viewer/llms.txt
- PyPI: dash-model-viewer —
pip install dash-model-viewer
MUI Charts
Professional data visualization with MUI X Charts for Dash — line, pie, scatter, heatmap, sparkline, composite, and live trading charts with free and pro features.
- Documentation: https://2plot.dev/pip/dash_mui_charts
- Machine-readable: https://2plot.dev/pip/dash_mui_charts/llms.txt
- Dedicated docs site: https://dash-mui-charts.onrender.com — complete API reference and deeper examples
- Machine-readable: https://dash-mui-charts.onrender.com/llms.txt
- PyPI: dash-mui-charts —
pip install dash-mui-charts
MUI Scheduler
Event calendars, resource timelines, and radial charts for Dash, wrapping the MUI X Scheduler.
- Documentation: https://2plot.dev/pip/dash_mui_scheduler
- Machine-readable: https://2plot.dev/pip/dash_mui_scheduler/llms.txt
- Dedicated docs site: https://dash-mui-scheduler.onrender.com — complete API reference and deeper examples
- Machine-readable: https://dash-mui-scheduler.onrender.com/llms.txt
- PyPI: dash-mui-scheduler —
pip install dash-mui-scheduler
NLE Timeline
Non-linear-editor timeline and scene compositor for Dash — frame-accurate scrubbing, multi-track clips, waveforms, and a DOM+Canvas preview stage.
- Documentation: https://2plot.dev/pip/dash_nle_timeline
- Machine-readable: https://2plot.dev/pip/dash_nle_timeline/llms.txt
- PyPI: dash-nle-timeline —
pip install dash-nle-timeline
Pannellum
Interactive 360° panorama viewer with tour mode, hotspots, and video support
- Documentation: https://2plot.dev/pip/dash_pannellum
- Machine-readable: https://2plot.dev/pip/dash_pannellum/llms.txt
- PyPI: dash-pannellum —
pip install dash-pannellum
Planet
Interactive orbital menu component with circular satellite layout, spring animations, and premium features
- Documentation: https://2plot.dev/pip/dash_planet
- Machine-readable: https://2plot.dev/pip/dash_planet/llms.txt
- PyPI: dash-planet —
pip install dash-planet
WidgetBot
Discord chat integration for Dash apps with floating Crate button, inline Widget embed, slash commands, and AI-powered responses.
- Documentation: https://2plot.dev/pip/dash_widgetbot
- Machine-readable: https://2plot.dev/pip/dash_widgetbot/llms.txt
- PyPI: dash-widgetbot —
pip install dash-widgetbot
Reading the whole site
- Site index: https://2plot.dev/llms.txt — every page, with its own machine-readable URL.
- Sitemap: https://2plot.dev/sitemap.xml
- Changelog: https://2plot.dev/changelog
Note for AI agents: This is the static, prerendered view of an interactive Dash application served because we detected a non-JS user agent. Full prose docs:
- /pip/llms.txt — LLM-friendly documentation
- /sitemap.xml
- /robots.txt