What are the key features of caylent/tufte-data-viz?

High data-ink ratio charts; Support for Recharts, ECharts, Chart.js, matplotlib, Plotly, D3/SVG; Clean and honest visualizations; Built for Claude Code agent skills

What are the use cases of caylent/tufte-data-viz?

Generating Tufte-style charts in data analysis reports; Creating honest visualizations for dashboards; Teaching data visualization best practices

What programming language does caylent/tufte-data-viz use?

caylent/tufte-data-viz is primarily written in Python.

How to install caylent/tufte-data-viz?

Run: openclaw install caylent/tufte-data-viz

Claude Skill

caylent/tufte-data-viz

A Claude Skill applying Edward Tufte's principles for high-data-ink-ratio charts. Supports Recharts, ECharts, Chart.js, matplotlib, Plotly, D3/SVG.

Language

Overview

Stars151

Forks6

LanguagePython

Last pushed2026-02-19

Last synced2026-05-27

View on GitHub

Repository

Ownercaylent

Repositorytufte-data-viz

Full namecaylent/tufte-data-viz

Repo ID1,161,206,793

GitHub URLhttps://github.com/caylent/tufte-data-viz

Install this Skill

git clone https://github.com/caylent/tufte-data-viz.git

GitHub

Registry

TypeUnknown

Quality scoreUnknown

VerificationUnknown

Last verifiedUnknown

Summary

A Claude Skill that applies Edward Tufte's data visualization principles—clean, honest, high-data-ink-ratio charts—using Recharts, ECharts, Chart.js, matplotlib, Plotly, and D3/SVG.

Chinese description

Agent技能：爱德华·塔夫特的数据可视化原则，用于创建简洁、真实、高数据墨水比的图表。支持Recharts、ECharts、Chart.js、matplotlib、Plotly、D3/SVG。

Key features

High data-ink ratio charts
Support for Recharts, ECharts, Chart.js, matplotlib, Plotly, D3/SVG
Clean and honest visualizations
Built for Claude Code agent skills

Use cases

Generating Tufte-style charts in data analysis reports
Creating honest visualizations for dashboards
Teaching data visualization best practices

Topics

agent-skills chartjs claude-code data-visualization echarts matplotlib plotly recharts tufte

Explore more

Owner: caylent Language: Python

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Data from GitHub. Synced on 2026-05-27