echarts4r VS plotly.js

Compare echarts4r vs plotly.js and see what are their differences.

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echarts4r plotly.js
3 40
573 16,536
- 0.5%
7.2 9.9
2 months ago 4 days ago
JavaScript JavaScript
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

echarts4r

Posts with mentions or reviews of echarts4r. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-18.

plotly.js

Posts with mentions or reviews of plotly.js. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-29.

What are some alternatives?

When comparing echarts4r and plotly.js you can also consider the following projects:

patchwork - The Composer of ggplots

d3 - Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

echarty - The goal of echarty is to provide a minimal interface, a “glue”, between R and ECharts, then let your R data lists build the chart. There are utilities included to assist with data preparation, Shiny with proxy and JS plugins. Have the full functionality of ECharts in R with minimal overhead!

calendar-heatmap - 📊 Calendar heatmap graph

wink-nlp - Developer friendly Natural Language Processing ✨

superset - Apache Superset is a Data Visualization and Data Exploration Platform

shinyjs - 💡 Easily improve the user experience of your Shiny apps in seconds

react-vis - Data Visualization Components

rnim - A bridge between R and Nim

dash-mantine-components - Plotly Dash components based on Mantine React Components

r-shinylive-demo - Deploying an R Shiny Application in Quarto with Shinylive (No Shiny Server Required)

kedro-viz - Visualise your Kedro data and machine-learning pipelines and track your experiments.