RamiKrispin / shinylive
A guide for deploying Shinylive Python application into Github Pages
☆133Updated 10 months ago
Related projects ⓘ
Alternatives and complementary repositories for shinylive
- Deploying flexdashboard on Github Pages with Docker and Github Actions☆215Updated 10 months ago
- A Tutorial for Setting R Development Environment with VScode, Dev Containers, and Docker☆249Updated 3 months ago
- A guide for deploying Shinylive R application into Github Pages☆159Updated 10 months ago
- R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)☆212Updated last week
- Functions used for wrangling education research data☆173Updated this week
- ☆96Updated 4 months ago
- Notes and reproducible code for the 'Docker for R' useR-2022 conference workshop☆59Updated 2 years ago
- A book on DevOps for Data Scientists with CRC Press.☆138Updated 3 months ago
- An end-to-end tutorial creating an R Shiny app that uses the reticulate package with Python 3☆114Updated 2 years ago
- Simple, lightweight orchestrator for R pipelines☆111Updated this week
- Here, I collect some tricks I've learned about the {ggplot2} R package☆284Updated 8 months ago
- Outstanding User Interfaces with Shiny CRC Press book online version☆224Updated 6 months ago
- Chat With All Kinds of AI Models Through a Common Interface☆118Updated 6 months ago
- This is the companion repository for the lightning talk given December 2020 to the R Finance group☆70Updated 2 years ago
- Data, code and plots from #TidyTuesday explorations☆66Updated 2 months ago
- ☆83Updated 7 months ago
- This repository enumerates all the reasons why R is better than python for DS☆98Updated last year
- ☆86Updated last year
- Streamlined Table Styling and Formatting for Reactable☆208Updated 8 months ago
- An interactive table interface for data summaries☆85Updated last year
- "Graphic Design with ggplot2", a 2-day rstudio::conf(2022) Workshop by Cédric Scherer☆176Updated 10 months ago
- Shiny App for Echarts Viz, ML, Forecasting, Data Wrangling, Feature Engineering, Inference, and Code Generation☆61Updated 2 months ago
- 📊 Collection of #TidyTuesday Visualisations! 📈☆70Updated last year
- Speed Up Exploratory Data Analysis (EDA)☆134Updated 10 months ago
- Slides, recording and hands-on tutorial for the USGS Data Science webinar☆233Updated last year
- My blog created with Quarto☆52Updated last week
- validate your data and create nice reports straight from R☆147Updated 7 months ago
- Drop down an interactive R or Python console, code editor, and plotting window from the top of your Quarto slides.☆158Updated 3 months ago
- Easy Dockerfile Creation from R☆177Updated 3 months ago
- ☆170Updated last year