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Ompp UI User Interface

amc1999 edited this page Nov 30, 2021 · 38 revisions

How to use openM++ UI

Open++ user interface (ompp-ui) is a lightweight web UI which is:

  • scalable: can be run on single end-user desktop and in cluster environment
  • cloud ready: can be deployed in private or public cloud (Amazon AWS, Microsoft Azure, Google Cloud, etc.)
  • portable: work on Windows, Linux and MacOS, 32 and 64 bit versions
  • open source: it is open source product

Current openM++ UI status: beta version of UI suitable for single user.

OpenM++ UI is an advanced beta which incorporates significant portions of core required UI functionality, but which is missing others. The underlying software architecture is modern and layered, to make it easy to change or evolve the UI. Lower layers of openM++ contain functionality (eg run import and export, result export, distributed cloud execution) which is not yet exposed or accessible in the current UI.

Your feedback on the openM++ UI is welcomed. Please feel free to join and participate in discussion of the openM++ UI on GitHub.

OpenM++ UI: chart

OpenM++ UI: heat map

OpenM++ UI: model runs

OpenM++ UI: create new scenario

OpenM++ UI: edit or delete existing scenario

OpenM++ UI: edit scenario

OpenM++ UI: model parameters

OpenM++ UI: edit parameter

OpenM++ UI: run the model

OpenM++ UI: compare model runs

OpenM++ UI: compare run parameters

OpenM++ UI: download model data

OpenM++ UI: download parameter

Home

Getting Started

Model development in OpenM++

Using OpenM++

Model Development Topics

OpenM++ web-service: API and cloud setup

Using OpenM++ from Python and R

Docker

OpenM++ Development

OpenM++ Design, Roadmap and Status

OpenM++ web-service API

GET Model Metadata

GET Model Extras

GET Model Run results metadata

GET Model Workset metadata: set of input parameters

Read Parameters, Output Tables or Microdata values

GET Parameters, Output Tables or Microdata values

GET Parameters, Output Tables or Microdata as CSV

GET Modeling Task metadata and task run history

Update Model Profile: set of key-value options

Update Model Workset: set of input parameters

Update Model Runs

Update Modeling Tasks

Run Models: run models and monitor progress

Download model, model run results or input parameters

Upload model runs or worksets (input scenarios)

Download and upload user files

User: manage user settings

Model run jobs and service state

Administrative: manage web-service state

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