actions
datascience-box
| actions | datascience-box | |
|---|---|---|
| 3 | 3 | |
| 912 | 858 | |
| 0.7% | - | |
| 8.9 | 10.0 | |
| 12 days ago | about 1 year 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
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Can someone explain how R project are organized and deployed?
For CI/CD type of thing perhaps check https://github.com/r-lib/actions .
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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?
datascience-box
What are some alternatives?
ggplot2-book - ggplot2: elegant graphics for data analysis
r-shinylive-demo - Deploying an R Shiny Application in Quarto with Shinylive (No Shiny Server Required)
azure-cli - Azure Command-Line Interface
datascience-box - Data Science Course in a Box
echarts4r - 🐳 ECharts 5 for R
colourpicker - 🎨 A colour picker tool for Shiny and for selecting colours in plots (in R)
jslogo - Logo interpreter running in the browser. Educational web app with code interpreting, graphing, file saving and hardware connectivity.
dash - Data Apps & Dashboards for Python. No JavaScript Required.
WBO - Online collaborative Whiteboard that is simple, free, easy to use and to deploy
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!