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lib-plotly

Create interactive and static charts using Plotly Express and Graph Objects.

Updated Mar 13, 2026
Search Tags:#dashboards#charts#data analysis#visualization#plotly#interactive graphics
One-click install
npx skills add https://github.com/biomaps-infra/blender-opencode --skill lib-plotly
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lib-plotly
Source: https://github.com/biomaps-infra/blender-opencode/tree/main/.opencode/skills/lib-plotly
Command: npx skills add https://github.com/biomaps-infra/blender-opencode --skill lib-plotly

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill empowers users to create a wide range of interactive, web-embeddable data visualizations, making complex data accessible and understandable for analysis, dashboards, and presentations.

Core Features & Use Cases

  • Interactive Charts: Generate plots with hover info, zoom, pan, and other interactive features.
  • Versatile Chart Types: Supports over 40 chart types, from basic scatter plots to complex 3D and hierarchical visualizations.
  • Data Exploration & Dashboards: Ideal for exploratory data analysis, building interactive dashboards, and creating engaging presentations.
  • Static Figures: Can also export to static image formats (PNG, PDF, SVG) for publications.

Quick Start

Use the lib-plotly skill to create a scatter plot from the provided dataframe with 'x' on the x-axis and 'y' on the y-axis.

Frequently Asked Questions about lib-plotly

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create interactive charts for a data dashboard?▼

You can create interactive charts for dashboards using over 40 visualization types, featuring hover info, zoom, and pan capabilities. Both high-level Plotly Express and low-level Graph Objects APIs are supported to build web-embeddable graphics.

What types of data visualizations can I generate for statistical analysis?▼

You can generate over 40 publication-quality chart types for statistical analysis and data exploration, ranging from basic scatter plots to complex 3D and hierarchical visualizations. These interactive graphics facilitate comprehensive data exploration.

Can I export interactive graphics to static image formats for publications?▼

Yes, interactive graphics can be exported to static image formats including PNG, PDF, and SVG for publications. This allows you to transition from exploratory data analysis to print-ready presentation outputs.

Does this visualization library support complex multi-plot layouts and time series?▼

Yes, the library supports complex multi-plot layouts and time series visualization. You can build intricate dashboards and interactive presentations by combining multiple chart components within a single figure.

What is the difference between high-level and low-level APIs for interactive graphics?▼

High-level APIs like Plotly Express provide simplified syntax for rapid chart creation, while low-level Graph Objects APIs offer fine-grained control over interactive graphics. Both approaches produce web-embeddable visualizations suitable for dashboards.

Is Python required to build interactive dashboards with this visualization tool?▼

Yes, Python is required as this is a Python library for creating interactive visualizations. You use Python dataframes and scripts to generate the charts, which can then be embedded into web applications or exported as static images.

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