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Developer ToolsAlternative to StreamlitAlternative to GradioAlternative to Dash

Shiny

Easy web applications framework for R and Python with powerful reactive programming.

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LicenseGPL-3.0
GitHub stars5.4k
Last commit1 weeks ago
Tags5 topics
Reactive Web ApplicationsR Python Dashboard FrameworkData Science Ui EngineDeveloper ToolsInteractive Data Reporting
Overview

Why consider Shiny?

Shiny is an open-source web application framework developed by Posit. It allows data scientists to build reactive web apps and interactive reporting dashboards directly in R or Python without writing HTML or JavaScript.

Guided learning

Learn Shiny by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of Shiny

Shiny connects analytical code directly to web interfaces with automatic reactive updates.

Quickstart

bash
1# In R:
2install.packages("shiny")
3library(shiny)
4runExample("01_hello")

Define UI layouts and server reaction logic to launch standalone data web applications.

Shiny is licensed under the GNU General Public License v3.0.

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Shiny FAQs

Shiny is listed as a Developer Tools tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Shiny is listed under the GPL-3.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Shiny is listed as an alternative to Streamlit. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.