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How do Dash, Posit (Shiny), Streamlit, and Bokeh compare as low-code, UI layers for AI and ML models?

Dash

Posit (Shiny)

Streamlit

Bokeh

  • Languages Supported
  • Python, R, Julia, and F#
  • Python and R
  • Python
  • Python
  • OSS License
  • MIT
  • AGPL
  • Apache 2.0
  • BSD
  • Back-end Architecture
  • Stateless
  • Stateful
  • Stateful
  • Stateful
  • Downloads/month
  • 1M+
  • 330,000
  • 900,000
  • 2,000,000
  • Web protocol
  • HTTP(S)
  • Websockets
  • Websockets
  • Websockets
  • Recommended deployment
  • Dash Enterprise
  • Posit Connect
  • Streamlit Cloud
  • Heroku or Anaconda Enterprise
  • User experience
  • Web app
  • Model output with controls in a Web page
  • Web app
  • Notebook or Web app
  • App structure
  • Multi-page
  • Single page or Multi-page depending on technology
  • Multi-page
  • Single Page
  • Front end
  • React
  • jQuery
  • React
  • Custom-Only
  • Interactivity
  • Complete: any component can be an input/output, including tables
  • Partial: some components can be inputs/outputs
  • Limited: only widgets as inputs, graphs and tables can only be outputs
  • Complete: any component can be an input/output, including tables
  • Styling control
  • Dash Design Kit, Basic Bootstrap, or CSS
  • Basic Bootstrap or CSS
  • CSS
  • Custom-Only
  • Crossfiltering
  • ✔️
  • ✔️
  • ✔️
  • Dynamic Layouts
  • Pattern-Matching Callbacks
  • Long Running Tasks
  • ✔️
  • ✔️
  • ✔️
  • Year founded
  • 2017
  • 2012
  • 2019
  • 2013
  • GitHub contributors
  • 111
  • 77
  • 180
  • 577
  • GitHub Stars
  • 18.9K
  • 5K
  • 25.6K
  • 17.7K

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