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Oasis LMF logo

Oasis Python UI

A web-based UI utilising Streamlit to manage exposure data and run modeling workflows on the OasisLMF platform.

The current version of the UI contains the following pages:

  • /analyses - View and create portfolios and analyses.
  • /dashboard - View the output of completed analyses.
  • /simplified - Simplified UI which allows for the running of analyses using previously loaded portfolios & models.

Installation

We include a demo docker installation to run the UI. The pre-requisites for this installation is git, docker and docker-compose. To run the deployment clone this repo and run the ./install.sh script.

This installation is based on the OasisEvaluation repo. It will initialise the Oasis Platform with the test PiWind model.

The UI can then be accessed at http://localhost:8501/. A single default user will be initialised with the following credentials:

Username: admin
Password: password

Note that if previous Oasis docker installations are present they will be removed during this installation.

The public site is at https://ui.oasislmf-scenarios.com/ Default scenarios in the tool are processed/hosted at https://github.com/OasisLMF/Scenarios