The iOS CI run failed in both jobs before reaching any product code: the
convention plugin itself did not compile. CoreDomainPlugin.kt used the
reified extensions.configure<KotlinMultiplatformExtension> { } form, but
unlike every other plugin in this directory it was missing the
org.gradle.kotlin.dsl.configure import. Without it only the member
overloads taking an explicit type parameter resolve, so the extension
receiver cannot be inferred and all twenty subsequent unresolved
references - jvmToolchain, jvm(), iosArm64(), binaries.framework,
sourceSets with the commonMain/commonTest/jvmTest accessors - are one
cascading failure, not twenty bugs.
build-logic is the first thing both CI jobs compile, and it has never
been compiled anywhere before this run, so the workflow is doing exactly
what it was added for: catching what no local machine can check.
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.





