plotly
Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualization.
Content Preview
---
name: plotly
description: Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualization.
license: MIT license
metadata:
skill-author: K-Dense Inc.
---
# Plotly
Python graphing library for creating interactive, publication-quality visualizations with 40+ chart types.
## Quick Start
Install Plotly:
```bash
uv pipHow to Use
Recommended: Install to project (local)
mkdir -p .claude/skills
curl -o .claude/skills/plotly.md \
https://raw.githubusercontent.com/K-Dense-AI/claude-scientific-skills/main/scientific-skills/plotly/SKILL.mdSkill is scoped to this project only. Add .claude/skills/ to your .gitignoreif you don't want to commit it.
Alternative: Clone full repo
git clone https://github.com/K-Dense-AI/claude-scientific-skillsThen reference at scientific-skills/plotly/SKILL.md
Related Skills
plotly-chart-generator
This skill provides automated assistance for plotly chart generator tasks within the Visual Content domain.
plotly-chart-generatorplotlychartgenerator
by jeremylongshore · plugins-plus-skills
matplotlib
Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.
matplotlibmatplotlib
by K-Dense-AI · claude-scientific-skills
scientific-visualization
Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick exploration use seaborn or plotly directly.
scientific-visualizationscientificvisualization
by K-Dense-AI · claude-scientific-skills
seaborn
Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.
seabornseaborn
by K-Dense-AI · claude-scientific-skills