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README.md

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The [examples/1-hello-world/](examples/1-hello-world/) directory contains a simple example demonstrating basic Shiny-React usage with both R and Python Shiny applications. The Shiny back end simply capitalizes the input value and sends it back to the front end.
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**View app in Shinylive: [R](https://wch.github.io/shiny-react/1-hello-world-r.html) | [Python](https://wch.github.io/shiny-react/1-hello-world-python.html)**
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**View app in Shinylive: <a href="https://wch.github.io/shiny-react/1-hello-world-r.html" target="_blank">R</a> | <a href="https://wch.github.io/shiny-react/1-hello-world-python.html" target="_blank">Python</a>**
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![Hello World Example](docs/1-hello-world.jpeg)
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### Input Component Examples
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The [examples/2-inputs/](examples/2-inputs/) directory showcases various input components and their integration with Shiny. This comprehensive example demonstrates:
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**View app in Shinylive: [R](https://wch.github.io/shiny-react/2-inputs-r.html) | [Python](https://wch.github.io/shiny-react/2-inputs-python.html)**
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**View app in Shinylive: <a href="https://wch.github.io/shiny-react/2-inputs-r.html" target="_blank">R</a> | <a href="https://wch.github.io/shiny-react/2-inputs-python.html" target="_blank">Python</a>**
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- **Text Input** - Basic text input with server-side transformation
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- **Number Input** - Numeric input with range constraints
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The [examples/3-outputs/](examples/3-outputs/) directory demonstrates outputs that consist of arbitrary JSON data, as well as plot outputs.
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**View app in Shinylive: [R](https://wch.github.io/shiny-react/3-outputs-r.html) | [Python](https://wch.github.io/shiny-react/3-outputs-python.html)**
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**View app in Shinylive: <a href="https://wch.github.io/shiny-react/3-outputs-r.html" target="_blank">R</a> | <a href="https://wch.github.io/shiny-react/3-outputs-python.html" target="_blank">Python</a>**
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![Output Examples](docs/3-outputs.jpeg)
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### Server-to-Client Messages Example
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The [examples/4-messages/](examples/4-messages/) directory showcases advanced server-to-client communication patterns using custom message handlers. This example demonstrates how Shiny servers can proactively send messages to React components for real-time notifications, status updates, and other server-initiated events.
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**View app in Shinylive: [R](https://wch.github.io/shiny-react/4-messages-r.html) | [Python](https://wch.github.io/shiny-react/4-messages-python.html)**
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**View app in Shinylive: <a href="https://wch.github.io/shiny-react/4-messages-r.html" target="_blank">R</a> | <a href="https://wch.github.io/shiny-react/4-messages-python.html" target="_blank">Python</a>**
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Key features demonstrated:
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- **Custom Message Handlers** - Registering handlers for specific message types
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The [examples/5-shadcn/](examples/5-shadcn/) directory demonstrates building modern, professional UIs using [shadcn/ui](https://ui.shadcn.com/) components with Tailwind CSS. This example shows how to integrate popular React component libraries with Shiny-React applications.
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**View app in Shinylive: [R](https://wch.github.io/shiny-react/5-shadcn-r.html) | [Python](https://wch.github.io/shiny-react/5-shadcn-python.html)**
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**View app in Shinylive: <a href="https://wch.github.io/shiny-react/5-shadcn-r.html" target="_blank">R</a> | <a href="https://wch.github.io/shiny-react/5-shadcn-python.html" target="_blank">Python</a>**
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Key features demonstrated:
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- **shadcn/ui Components** - Professional, accessible UI components
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The [examples/6-dashboard/](examples/6-dashboard/) directory presents a comprehensive dashboard application with charts, tables, and interactive data visualization. This sophisticated example demonstrates how to build data-driven applications with Shiny-React.
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**View app in Shinylive: [R](https://wch.github.io/shiny-react/6-dashboard-r.html) | [Python](https://wch.github.io/shiny-react/6-dashboard-python.html)**
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**View app in Shinylive: <a href="https://wch.github.io/shiny-react/6-dashboard-r.html" target="_blank">R</a> | <a href="https://wch.github.io/shiny-react/6-dashboard-python.html" target="_blank">Python</a>**
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Key features demonstrated:
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- **Interactive Charts** - Dynamic data visualization with filtering

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