| actions | echarts4r | |
|---|---|---|
| 3 | 3 | |
| 912 | 575 | |
| 0.7% | - | |
| 8.9 | 7.2 | |
| 12 days ago | 3 months ago | |
| JavaScript | JavaScript | |
| Creative Commons Zero v1.0 Universal | 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.
actions
-
Can someone explain how R project are organized and deployed?
For CI/CD type of thing perhaps check https://github.com/r-lib/actions .
-
Scheduling Tasks in Base R
You can trigger a github action (run a script) using cron syntax too. Here's a decent place to start: https://github.com/r-lib/actions
- Fail if lintr::lint_packages() return error in CI/CD?
echarts4r
-
A love letter to Apache Echarts
You can also use Apache Echarts through R with this package: https://echarts4r.john-coene.com/
-
echarts4r VS echarty - a user suggested alternative
2 projects | 2 Jun 2022
-
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?
ggplot2-book - ggplot2: elegant graphics for data analysis
plotly.js - Open-source JavaScript charting library behind Plotly and Dash
azure-cli - Azure Command-Line Interface
patchwork - The Composer of ggplots
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!
wink-nlp - Developer friendly Natural Language Processing ✨
shinyjs - 💡 Easily improve the user experience of your Shiny apps in seconds
rnim - A bridge between R and Nim
r-shinylive-demo - Deploying an R Shiny Application in Quarto with Shinylive (No Shiny Server Required)
understatr - fetch understat data
echarts-gl - Extension pack for Apache ECharts, providing globe visualization and 3D plots.
datascience-box - Data Science Course in a Box [Moved to: https://github.com/tidyverse/datascience-box]