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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.

5,913stars710forksUpdated 1/15/2026
Data Science & ML#data-visualization#data-science#research#scientific#bioinformatics#science#data-analysis#plotly#graphing-library#interactive-charts#python

Security Assessment

Safe(100/100)
Security Score100/100

About plotly

The Plotly skill is an interactive visualization library designed for the creation of dynamic and publication-quality graphics. It addresses the need for engaging visual data representation, allowing users to explore data through features like hover information, zooming, and panning. Unlike static libraries, Plotly enables users to create web-embeddable charts that enhance presentations and dashboards, making data interpretation more intuitive and interactive for viewers.

Main features of Plotly include support for over 40 chart types ranging from basic plots such as scatter and bar charts to advanced statistical and financial charts. It offers two primary APIs: Plotly Express for rapid and straightforward visualizations with sensible defaults, and Graph Objects for users requiring more control and customization in their charts. With features like subplots, templates for coordinated styling, and a rich set of interactive capabilities, Plotly empowers users to build complex visualizations tailored to their specific needs.

Plotly primarily targets data scientists, analysts, and anyone involved in data-driven decision-making who requires robust visualization tools. It is especially useful for exploratory data analysis, creating dashboards, and presenting findings in an engaging manner. Whether you are working with pandas DataFrames or building custom visualizations, Plotly provides the tools necessary to make data visualization both powerful and accessible.

FAQ

How do I install Plotly?

You can install Plotly using the command: `pip install plotly`.

What types of charts can I create with Plotly?

Plotly supports over 40 chart types including scatter, line, bar, pie, and complex financial charts.

Can I customize the appearance of my charts?

Yes, Plotly allows extensive customization of colors, fonts, axes, legends, and more.

Is Plotly compatible with Jupyter notebooks?

Yes, Plotly works seamlessly with Jupyter notebooks for interactive visualizations.

What is the difference between Plotly Express and Graph Objects?

Plotly Express is a high-level API for quick visualizations, while Graph Objects provide fine-grained control for complex visualizations.

Install plotly

Download and extract the skill files to your .claude/skills/ directory.

Quick Setup:

  1. Copy the skill folder to .claude/skills/
  2. Claude will automatically detect and use the skill

Repository

K-Dense-AI/claude-scientific-skills

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