scientific-advanced-visualization
CommunityInteractive publication-ready scientific visuals.
Authornahisaho
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Scientific data often requires rich, interactive and publication-quality visualizations to communicate insights effectively to researchers and stakeholders.
Core Features & Use Cases
- Interactive 3D plots with Plotly for exploratory analysis and presentation-ready figures.
- Declarative visuals with Altair for concise, reproducible charts.
- Multivariate and statistical visuals with Seaborn for quick insight extraction.
- Animations and multi-panel figures to illustrate time-series and comparisons.
- Publication-quality styling options compatible with Nature/Science aesthetics.
- Toolchain integration with common Python workflows for dashboards and reports.
- TU tool search via bio.tools for extended capabilities.
Quick Start
Create an interactive 3D scatter plot from your dataset using Plotly and export it as HTML.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: scientific-advanced-visualization Download link: https://github.com/nahisaho/satori/archive/main.zip#scientific-advanced-visualization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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