Tools to check for compromised Keepass passwords

It’s 2020, and by now everyone should know the basics of password hygiene: use strong passwords, don’t reuse them across sites, etc. A password manager such as Keepass is an essential tool for keeping track of all the passwords you inevitably end up with under this set of rules. Unfortunately, no matter how good your passwords are, there’s always a chance that they’ll get compromised. For example, a website might have a breach and someone can obtain your password regardless of how hard it would have been to guess. In cases like these, services like Have I Been Pwned can let you know this has happened. However, if your password is leaked in something like a large credential-stuffing dump, it might not be obvious which sites you may need to change your password on.

A highly customizable RGB controller implementation for Arduino

I recently decided that I needed to add some color to my workspace, but didn’t want to just use any off-the-shelf RGB controller. My first thought was to use an Arduino to control some RGB strips, but I didn’t want to have to to open the Arduino IDE and modify the firmware every time I wanted to change the program. This desire eventually escalated to implementing a virtual machine on top of the Arduino with an application-specific instruction set designed to easily manipulate LEDs.

Timelapses from Landsat data

I thought it would be cool to extend the scripts I posted about yesterday with the ability to create a timelapse.

An automated workflow for fetching and mosaicing Landsat imagery

One extension I had been planning for my previous project involving terrain meshes was the addition of satellite imagery to add color to the models. Landsat, in addition to enabling important climatology research and other science missions, turned out to be a great source of open data to use for this.

Generating terrain meshes for 3D printing

A while back, I thought 3D printed models of the local terrain might be a cool gift idea. To make this a reality, I have implemented a simple Python utility to convert publicly-available terrain data into a format suitable for 3D printing.