Shiny running Python models

Context summary

The company has built a battery degradation prediction model in Python language. ThinkR was contacted to develop the Shiny interface for entering the many parameters (about a hundred) and deploy the software in production to a commercial audience (several dozen).

Our intervention

  • Development of the Shiny application in interaction with Python (hundred of parameters)
  • Implementation of a Docker and Shinyproxy infrastructure for AWS deployment
  • User authentication and session persistency

Result & added value

  • Internal deployment of a user-oriented application for an authenticated audience

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