What is ShinyProxy?

ShinyProxy is your favourite way to deploy data science apps in an enterprise context (Shiny, Dash, Streamlit, Jupyter notebooks, IDEs and more). It has built-in functionality for all standard authentication/authorization technologies, supports high availability and can scale to internet scale (i.e. no limits on concurrent usage of your data science apps).

Why use it?

  • you want to seamlessly deploy data science apps that were developed locally using Shiny, Dash streamlit etc. through a streamlined process
  • you need enterprise features but want to stay with true open source
  • you trust the JVM on the server side for managing the lifecycle of your apps securely
  • you want to get all benefits offered by container-based technology ( Docker, Kubernetes, Docker Swarm or ECS)

Open Source

ShinyProxy is 100% open source, released under the Apache License version 2.0 and the sources are on Github.

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JVM Server Side

ShinyProxy uses time-tested and mature enterprise JVM technology bundled nicely as a Spring boot web application.

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Docker-based technology

When deploying a data science application with ShinyProxy, the application is simply bundled and installed into a Docker image. Every time a user runs an application, a container spins up and serves the application. Optionally containers can be pre-initialized and shared between users. This has numerous advantages:

  • fully isolated ‘workspace’ per session
  • plug and play different docker images (e.g. with different R versions or different Shiny versions for your Shiny apps)
  • full control on memory and cpu usage via the Docker, Docker Swarm, Kubernetes or ECS API
  • monitoring and debugging using standard tooling for your container orchestration technology
  • easily confine your application using native container technologies: restrict network, filesystem, process access etc.
  • provide dedicated memory and cpu resources for each user, guarantees that computations of users do not interfere with each other (works even with single-threaded applications like R)
  • archive every version of an application in order to achieve reproducibility
  • use existing tools for security scanning the images

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Why call it ShinyProxy?

ShinyProxy started as an open source enterprise solution for hosting Shiny applications. In the meantime it has become a generic solution for hosting many types of data science applications (see demos) and, as a matter of fact, you can host any web application you can embed in a Docker image.