mckero
904d1ffbea
The previous round fixed the convention plugin and the native expect declarations, which let both platforms compile far enough to reveal the next layer: a handful of jvm-only call forms that survived the original kotlin/native sweep because they look like plain kotlin. String.toByteArray() and Charsets.UTF_8 live in java.nio.charset and do not exist on kotlin/native; the stdlib equivalents encodeToByteArray() compile everywhere and are byte-identical for utf-8, so the APRS packet length budget and the ADIF field length calculation keep their exact arithmetic. The DatabaseRepoTest helpers kept an InputStream return type after their bodies were moved to ByteArray sources, and the java.io import was gone with the sweep, so the android unit test task could not resolve them; the fake source maps were already typed () -> ByteArray, so the return type simply follows the data it now feeds.
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.
License
The Look4Sat application code is licensed under the GNU General Public License v3.0.
The CW decoder in feature/cw bundles the DeepCW
neural decoding model, licensed under the GNU Affero General Public License v3.0 only
(AGPL-3.0-only). Because the combined work incorporates an AGPL-3.0 component, the
combined work is distributed under the
GNU Affero General Public License v3.0 — GPL-3.0 Section 13 permits the
combination, and AGPL-3.0 Section 13 applies to the combined work as a whole.
Model provenance and attribution are documented in
feature/cw/licenses/NOTICE.md; the original GPL-3.0
text is preserved at feature/cw/licenses/Look4Sat-GPL-3.0.txt. The CW model runs
locally on-device and does not provide services over a network.