STM Dashboard

Introduction

This repository includes some experimental work on the visualization of space-time matrix (STM) datasets.

Repository structure

• stm-dashboard: A minimal dashboard implementation based on panel to visualize an example STM dataset.
• notebooks:
  • stm-and-contextual-data.ipynb: Visualize an STM dataset together with some contextual data (space- and time-dependent).

Installation

Conda

The environment.yml file allows you to create a Python environment with all the required dependencies using conda (or its faster implementation mamba):

mamba env create -f environment.yml

Apptainer

We also provide an Apptainer (formerly known as Singularity) image with the environment already set up. Images are built using GitHub Actions for every release and pushed to the GitHub Container Registry. Start the Python REPL in a container using:

apptainer exec \
  oras://ghcr.io/MotionbyLearning/stm-dashboard:latest \
  python