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Reworks the Roaming grid to structurally match the reference app instead of a card-style panel: - Removed the outer ElevatedCard, rounded cells, cell gaps and inner padding: the 3x3 grid is now one continuous table that fills the panel, cells connected edge-to-edge. - Cells separated by 2dp divider lines that run the full width/height of each row/column, crossing at right angles like a real coordinate grid (the reference app's continuous separator lines). - Cells are square-cornered (no rounded corners), background fills each cell fully. - Column widths 21.4% : 56.2% : 21.4%, row heights 31.5% : 35.9% : 31.7% retained. - Center cell: OL42 is larger (28sp bold) and placed at upper-middle; the red marker sits BELOW the text with a 10dp gap, horizontally offset by the 3rd-pair fraction — never overlapping the label, matching the reference 'text above, marker below' layout. - Surrounding labels bumped to 16sp Medium (larger/stronger than before). - Info header also switched from an ElevatedCard to a flat continuous block so the page reads as one continuous surface, like the reference. The grid proportions, locator algorithm, marker mapping and boundary logic were already faithful; this change makes the visual structure faithful too.
Look4Sat: Satellite tracker
Radio satellite tracker and pass predictor for Android, inspired by Gpredict
Track satellite passes with ease!
Thanks to Celestrak and SatNOGS you have access to over 9000 active satellites.
You can search the entire database by NORAD Catalog Number or the satellite's name.
Orbital positions and passes are calculated relative to your location.
To get reliable data make sure to set the station position via the app Settings.
The application is built using Kotlin, Coroutines, Jetpack Compose and Navigation.
It is now and always will be completely ad-free and open-source.
Main features:
- Predicting satellite positions and passes for up to 10 days
- Showing the list of currently active and upcoming satellite passes
- Showing the active pass progress, polar trajectory and transceivers info
- Showing the satellite positional data, footprint and ground track on the map
- Custom TLE satellite data import is available via Three Line Element .txt files
- Offline first: calculations are made offline. Weekly TLE data update is recommended.
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Languages
Kotlin
79.6%
Java
20.4%





