Shiny Server
Get your Shiny apps online
When you’re ready, Posit Connect is a publishing platform for all the work your teams create in R. Share Shiny applications, R Markdown reports, interactive Python applications, dashboards, plots, APIs, and more in one convenient place.
If you prefer for us to host your Shiny applications, one of our shinyapps.io plans is sure to work for you.
If you prefer for us to host your Shiny applications, one of our shinyapps.io plans is sure to work for you.
Compare Shiny Server, Posit Connect, and Shinyapps.io
Overview
Deploy Shiny applications to the Web
Security & Authentication
Deploy Shiny applications behind firewalls
Professional
Overview
Commercial License (not AGPL)
Posit Support
Deploy Shiny applications to the Web
Push-button publishing from RStudio IDE
Deploy and access Shiny apps, dashboards, R Markdown reports, static plots, and APIs in one place
Deploy and access Python-based content, including Flask, Dash, Streamlit and Bokeh
Scheduled updates and distribution of reports
Self-managed content - see and manage what you’ve published or can access from others
Professional Drivers - connect to some of the most popular databases
Security & Authentication
Password protect applications
Deploy Shiny applications behind firewalls
Controlled access via SSL and LDAP, Active Directory, Google OAuth, PAM, proxied authentication, or passwords
Tuning & Scaling
Scale applications across multiple R processes
Persistent R processes for faster load times
Metrics & Management
Performance and resource metrics
Health check endpoint
Overview
Commercial License (not AGPL)
Posit Support
Deploy Shiny applications to the Web
Push-button publishing from RStudio IDE
Self-managed content - see and manage what you’ve published or can access from others (Publishers Only)
Security & Authentication
Password protect applications (* For shinyapps.io plans that include authentication, your application users must have a Google, Github or a shinyapps.io account)
Tuning & Scaling
Scale applications across multiple R processes
Metrics & Management
Performance and resource metrics