Welcome¶

Instead of keeping track of simulations, processing tasks and AI/ML training manually using notebooks and spreadsheets, Simvue helps to automate this and provide a single view of all your work, no matter where in the world the jobs are running.

A diagram showing a simple overview of Simvue. Simulations, processing tasks or AI/ML training algorithms can be tracked by collecting metadata, artifacts, metrics and events from the application while it is being executed, and passing them to Simvue for processing and storage.

Simvue can track and organise metadata and files, collect metrics and logs from running simulations or any processing tasks, as well as maintain connections between different simulations and tasks and is even inter-operable between different platforms.

A diagram showing that Simvue can track simulationS which are being run on a variety of different hardware resources, including desktops, HPC clusters and cloud computing resources.

Simvue consists of:

a Python client that can be used to collect information from applications,
a web UI providing a dashboard for exploring, comparisons and visualisation.