Conda packages are now available for most of the underworldcode suite of software (Underworld, UWGeodynamics, Lavavu, Stripy) from the geo-down-under conda channel. Let’s face it. Users don’t want to spend time compiling code on their machine. It is time consuming, requires some specific skills and creates unnecessary hurdles in a workflow.

Meghan S. Miller, Australian National University and Louis Moresi, Australian National University How we built a simple dashboard using Github actions with open source software and openly available (FAIR) data. We recently wrote an article in The Conversation that shows how the Australian Seismometers in schools network registers the pulse of Australian life through changes in the seismic noise

One of the most popular cloud services for python / jupyter - based codes is binder (www.mybinder.org) which can transform an online repository into a running instance in the cloud with little effort on the part of the owner of that repository to set it up and no effort at all for the end user.

By the way, before you read this post, catch up with how we use docker by reading part 1 Docker allows us to distribute pre-built applications which are hosted in a virtual machine and are therefore platform independent.

While huge improvements in usability have been achieved in Underworld2, the installation process is still unfortunately as painful as ever. This difficulty is in large part due to Underworld's numerous dependencies, and also the multiple platforms we try to support. Compounding this, the legacy of a individual user's machine often conspires against success, rarely in obvious ways. Simply, compiling is not fun. Enter docker.