Shiny is available in Python (Ref https://shiny.posit.co/py/) and you can find some examples there.
This project is using some specific packages versions. More detail in requirements.txt file.
This example focus on shiny core. There is another way to create controls (shiny.express).
This example uses the happiness data. Check WHR2024.csv in data folder
There are some Plotly examples like bar, area and cloropleth
Previous steps to prepare your VS Code for Python here: https://github.com/Public-Health-Scotland/vscode_prep
Don't forget to activate your environment to run this example
You only need to type on terminal: shiny run app.py
Note: You can run your Shiny app and make it visible in your local network: shiny run --host 0.0.0.0 --port 8000 app.py
You will beed to know your local IP address. You can find it typing ipconfig in a terminal. Then you can access your app from another device using this link: http://192.168.X.X:8000/
If you want to publish to shinyapps.io you need to install rsconnect-python in your environment You will need to run the following commands:
- Register your credentials
rsconnect add --account <your-account-name> --name <your-account-name> --token <your-token> --secret <your-secret>
- Deploy your app. If you are in the current app folder use ".", otherwise you should type the app_path
rsconnect deploy shiny -n <your-accout-name> --title "My Shiny Python" .
- Python shiny natively support async functions
- Python shiny has a ui.input_dark_mode (not in R shiny)
- Python shiny has a ui.card (You have to install BSLIB in R)