bennjordan/kirlianorbits_win64

Kirlian Orbits is a circular MIDI sequencer, a music tool where notes travel around a spinning ring instead of sitting on a straight timeline. The idea came from watching the spinning discs of a DJ turntable and wanting a more flexible, computer based way to turn circular motion into musical triggers. The author notes that circular sequencers are not a new concept, tracing back to a 1959 device called the Circle Machine, but built this version because existing tools did not quite fit their needs. The program lets you grab and bend a spinning arm into custom curves while it keeps rotating, with the math adjusting so your mouse movements still feel natural. Notes orbit the center at their own speeds, either as a percentage of the master tempo or synced to simple clock divisions, and they trigger sounds with timing that stays accurate no matter how fast the ring spins or which direction it turns. A generative mode can turn a single note setting, such as pitch or volume, into a range so the program picks a random value within your chosen boundaries each time. It also includes 22 musical scales, from common Western scales to less common ones, plus a way to lock in a specific key so notes stay in tune. Sessions can be saved and reloaded with standard keyboard shortcuts, and a built in diagnostics panel shows live MIDI activity and flags if another program is interfering with your MIDI ports. The project is licensed under Creative Commons Attribution NonCommercial 4.0, meaning it can be used, shared, copied, and modified for free as long as credit is given and it is not sold or used commercially. Running it from source needs Python 3.12 or newer plus a few packages, after which a single command starts the program. A separate script can bundle everything into one standalone Windows executable. The author also offers a prebuilt executable through a paid Patreon tier, explaining that this is meant to limit unofficial redistribution rather than to charge users. The README states there is no ongoing support, and that a local AI model was used to help build the Windows interface.