echarty

April 16, 2026 · View on GitHub

This package is a thin R wrapper around Javascript library ECharts.
One major command(ec.init) uses R lists to support the ECharts API.
Benefit from ECharts full functionality and build interactive charts in R and Shiny with minimal overhead.

Wider connectivity and deployment potential through WebR and crosstalk.

Compare to echarts4r 📌

R package	echarts4r	echarty
initial commit	Mar 12, 2018	Feb 5, 2021
library size
test coverage
lines of code	1,202,681	6,951
echarts.js version	5.4.3	6.0.0
API design	own commands with parameters	mostly ECharts option lists ⁽¹⁾
number of commands	over 200	one command (ec.init) + optional utility commands
dataset support	no	yes
WebR support	no	yes
crosstalk support	no	yes
column-to-style	no	yes
dependencies (tools)	70	46
dependencies (WebR)	188	46

⁽¹⁾ We encourage users to follow the original ECharts API to construct charts with echarty. This differs from echarts4r which uses own commands for most chart options.

Comparison review done October 2025 for current versions of echarts4R and echarty.

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Installation

Latest development build 1.7.3

if (!requireNamespace('remotes')) install.packages('remotes')
remotes::install_github('helgasoft/echarty')

From CRAN:

install.packages('echarty')

Examples

library(echarty); library(dplyr)

#  scatter chart (default)
cars |> ec.init()

#  parallel chart
ToothGrowth |> ec.init(ctype= 'parallel')

#  3D chart with GL plugin
iris |> group_by(Species) |> ec.init(load= '3D')

#  timeline of two series with grouping, formatting, autoPlay
iris |> group_by(Species) |> 
ec.init(
  timeline= list(autoPlay= TRUE),
  series.param = list(
    symbolSize= ec.clmn('Petal.Width', scale= 9),
    encode= list(x= 'Sepal.Width', y='Petal.Length'),
    markLine= list(data= list(list(type='max'), list(type='min')))
  )
)

# show a remote map chart, needs package leaflet installed
echarty::ec.fromJson('https://helgasoft.github.io/echarty/test/pfull.json')

Get started

The Coder is a good introduction, type library(echarty); demo(coder).
The WEBSITE has a vast gallery with code and tutorials.
The package itself has code examples included. Now you can start building beautiful ECharts with R and Shiny!