First (2021) VR App

It’s so cool that I can actually develop apps for my new Oculus Quest 2. It took a while to find the correct set up instructions (the SDKs, plugins and Unity user interface are a constantly moving target), but these instructions from XRTerra were spot on!

The app isn’t particularly exciting at this point, but the exciting part is that the core pieces are all set up:

The model in Unity…
And subsequently in the Oculus Quest!

I am excited to see what happens next. My plan is to eventually get SpaceRocks up and running again…or something like it.


Python, Dash & Plotly

After playing with a number of monitoring tools to keep track of the various sites and devices around the house, since none of them did what I envisioned, I decided to try to take a stab at building my own app. I thought about doing it as a mobile app, but realized a web app would be much more versatile. After some searching, I came across Plotly and think it might suite my needs.

This Dash example got me particularly excited:

(Initially found here)

I got to work installing Python, Plotly and Dash on a spare Raspberry Pi Zero W I had been using for monitor experiments with Zabbix and Nagios.

I immediately started running into some issues. The code I was trying to run was very basic from Plotly/Dash examples. It would run, and said it was rendering on port 127.0.01:8050 but when I would try to connect remotely (say to, the connection would be refused.

Since was running the RPi headless, I couldn’t connect to 127.0.01, so I tried to get the code to run on my MacBook. Now I was getting errors running the same code. After some research, I found our that calling my program “” conflicted with the dash library. Simply renaming the code to allowed it to work.

It was now rendering on, but refusing to connect on the MacBook’s lan address

This is where I learned I need to include host = ''in the “run server()” function in order for the integrated web server to listed on any host. I modified the code on my RPi and now am very happily seeing:

8 March 2021:

I am using a YouTube tutorial from Jay Bhatt to understand some basics of Plotly/Dash.