Can this skill help with web-based dashboards?

Absolutely, it includes guidance for integrating Plotly visualizations into the Dash framework to build interactive, production-grade web applications.

Can I export charts as static images?

Yes, the skill provides instructions for exporting visualizations to PNG, PDF, and SVG formats using the Kaleido engine.

Does this skill support 3D plotting?

Yes, it fully supports 3D charts including scatter3d, surface, mesh, and volume plots using Plotly's powerful rendering engine.

Is it better to use Plotly Express or Graph Objects?

Plotly Express is recommended for quick, standard visualizations with sensible defaults, while Graph Objects is best for fine-grained control and complex, multi-layered figures.

Plotly Scientific Visualization

Name: Plotly Scientific Visualization
Author: K-Dense-AI

byK-Dense-AI

•

3,718

Data Science & ML

Generates interactive, publication-quality scientific and statistical visualizations using the Plotly Python library.

About

This skill equips Claude with the expertise to create complex, interactive data visualizations using Plotly, ranging from quick exploratory charts via Plotly Express to highly customized figures with Graph Objects. It simplifies the process of building scientific plots, 3D surfaces, geographic maps, and financial charts while providing expert guidance on layout styling, interactive tooltips, and exporting results as standalone HTML or high-resolution static images for research and reporting.

Key Features

Support for 40+ interactive chart types including 3D, geographic, and statistical plots.
3,718 GitHub stars
Advanced layout customization including subplots, coordinated templates, and custom styling.
Interactive feature implementation like custom hover tooltips, range sliders, and animations.
Multi-format export capabilities for interactive HTML or static PNG, PDF, and SVG files.
Dual-API mastery covering both Plotly Express for speed and Graph Objects for granular control.

Use Cases

Visualizing complex scientific datasets with 3D mesh, contour plots, and heatmaps.
Generating publication-ready statistical distributions and violin plots for academic research.
Creating interactive financial dashboards and time-series charts with integrated range sliders.

About

Key Features

Support for 40+ interactive chart types including 3D, geographic, and statistical plots.
3,718 GitHub stars
Advanced layout customization including subplots, coordinated templates, and custom styling.
Interactive feature implementation like custom hover tooltips, range sliders, and animations.
Multi-format export capabilities for interactive HTML or static PNG, PDF, and SVG files.
Dual-API mastery covering both Plotly Express for speed and Graph Objects for granular control.

Use Cases

Visualizing complex scientific datasets with 3D mesh, contour plots, and heatmaps.
Generating publication-ready statistical distributions and violin plots for academic research.
Creating interactive financial dashboards and time-series charts with integrated range sliders.