shinyjs
echarts4r
Our great sponsors
| shinyjs | echarts4r | |
|---|---|---|
| 3 | 3 | |
| 722 | 573 | |
| - | - | |
| 4.9 | 7.2 | |
| 6 months ago | 2 months ago | |
| R | JavaScript | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
shinyjs
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[Shiny Dashboard] [R6] Dynamic Value boxes - having only one display.
Also, if you want to show/hide a box depending on a parameter, you can observe whether the parameter is present or not, then simply show/hide the box with the shinyjs package.
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Shiny app which Uploads a datafile and create a checkbox and textinput and dropdown list for each column
Have a look at shinyjs. https://deanattali.com/shinyjs/ https://github.com/daattali/shinyjs#overview-main There you can specify which blocks of ui are hidden from the start, you can enable and disable inputs, show and hide, and much more.
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Load Testing Shiny Apps
Shiny is an R package that makes it easy to build interactive web apps straight from R. You can host standalone apps on a webpage or embed them in R Markdown documents or build dashboards. You can also extend your Shiny apps with CSS themes, htmlwidgets, and JavaScript actions.
echarts4r
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A love letter to Apache Echarts
You can also use Apache Echarts through R with this package: https://echarts4r.john-coene.com/
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echarts4r VS echarty - a user suggested alternative
2 projects | 2 Jun 2022
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I'd like to know R but my immediate need is to make interactive charts in html format for web publication. Is ggplotly any good?
This might shock you, but open-source software is an open and collaborative effort. If you think that the example with two Y-axes undermines this entire project, you can go to the echarts4r github repository, open a pull request (the website is made via pkgdown), and propose improvements to the documentation. Maybe do something good instead??
What are some alternatives?
RInno - How to install local shiny apps
plotly.js - Open-source JavaScript charting library behind Plotly and Dash
shinyalert - 🗯️ Easily create pretty popup messages (modals) in Shiny
patchwork - The Composer of ggplots
easystats - :milky_way: The R easystats-project
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!
electricShine - Create Standalone Installable Shiny Apps
wink-nlp - Developer friendly Natural Language Processing ✨
shiny.semantic - Shiny support for powerful Fomantic UI library.
rnim - A bridge between R and Nim
shinyloadtest - Tools for load testing Shiny applications
r-shinylive-demo - Deploying an R Shiny Application in Quarto with Shinylive (No Shiny Server Required)