08.04.2026 (🌐⚙️)
cybele on github is now publicaly available for download and code use/reuse/learning.
Fixed the DST (Dailylight Saving Time) changes to seasonal algorythm based in the country and hemisphere.
Fixed the calculation for solar panels for "seasonal" (with the variables country and hemisphere) instead of the generic algorithm PVM.
Fix: Ensure prompt character display by implementing Unicode encoding fallbacks.
Other small fixe's in reasoning, interaction and response in her programed AI.
Added satellite tracking pass prediction
Elevation Filter: I added a check for max_elev > 5. Passes below 5 degrees are often impossible to observe due to buildings, trees, or atmospheric interference.
Visual Formatting: I adjusted the columns so that the output in the Cybele terminal is aligned and professional.
Error Handling: I added colors for forecast failures, maintaining the UI's visual identity.
Output Logic: I improved the readability of the time (AOS) and duration so that the user knows exactly when to start "listening" or observing the satellite.
Possibility of running the Cybele script without loading the Predict module in Windows, thus avoiding the installation of requirements.
Usage : 〉Cybele: No module named 'predict'
Do you want to install 'predict' module? (y/n): n
"get ifremer data", "people in space", "longest day","shortest day","well calc","stars from","infostar","longhand" and &&
# Special thanks to dear Maya for illuminating this code 💡
This marks a final stable update and the maintenance cycle for Cybele. Available in github. What you see is what you get.