Releases: isuretpolos/AetherOnePi
Reactivating the web server
AutoMode Graph
Java 24, Processing 4.4.4 and IconTray Menu
Finally a new version based on Processing Core 4.4.4 and Java 24. This delivers potential performance enhancement on some systems.
Copy Result to Clipboard for AI
Copy the result as a JSON into your Clipboard, from where you can transfer it to an AI (ChatGPT, Copilot) and ask for an interpretation of the result.
Please promote my Patreon website if you like this project: https://www.patreon.com/c/aetherone
GPU using P2D
Thanks to Alex Tcherniak! He insisted to enhance the performance and I was sure it couldn't be done. But he pointed me to use the P2D ability, to use the GPU acceleration. And now it is indeed a lot faster!
Be aware that if your computer does not have a GPU, this version might even work slower! So switch back to version 1.4.0.
Final release v1.4.0
See the Broadcasting and Resonance Wave on Analysis Screen.
Visit https://www.patreon.com/c/aetherone for more Information on new projects.
AetherOne UI v1.3.8
Anomaly search inside the map. It works, but it is still a work in progress.
AetherOne UI v1.3.7
Area analysis inside an OpenstreetMap, work in progress, time to play and to find out incredible things.
The SEARCH button does not work yet. In the next version it will be able to search for anomalies.
As always: use Java version 1.8.
If you have question you can contact me via email.
Please support me on PATREON, this means a lot to me.
AetherOne UI v1.3.6
New features:
- watchlist.csv (insert a file with a list of target names in main folder, then it will be analyzed at startup and every entry with GV lower than 500 will be displayed on the Dashboard), and one click on an entry switch to SESSION with name already inserted into textfield
- notification settings (notification after broadcast can be switched on / off)
- mouse over resonance text shows entire signature text
AetherOne UI v1.3.5
CLEAR button inside ANALYSE tab makes purple light blink which symbolize the clearing process similar to Ultraviolet light. In future this will have a output for the Raspberry Pi and Arduino.
Some improvements in analysis and behavior.




