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@@ -742,6 +742,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
 ## Kotlin
 
 * [geospatial-messenger](https://github.com/sdeleuze/geospatial-messenger) - Geospatial messenger application written with Spring Boot + Kotlin + PostgreSQL.
+* [Lets-Plot](https://github.com/JetBrains/lets-plot-kotlin/blob/master/docs/geotools.md) - An open-source plotting library. Together with GeoTools it allows you to visualize geospatial data in Jupyter notebooks or a JVM application.
 
 ## Lisp
 * [cl-ewkb](https://github.com/filonenko-mikhail/cl-ewkb/) - Common Lisp PostGIS EWKB data model and encoder/decoder.
@@ -841,6 +842,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
 * [landsat7-errors](https://github.com/gena/landsat7-errors) - Identifies and correct errors in raw values of Landsat 7.
 * [landsatxplore](https://github.com/yannforget/landsatxplore) - Search and download Landsat scenes from EarthExplorer.
 * [leafmap](https://github.com/giswqs/leafmap) - A Python package for geospatial analysis and interactive mapping with minimal coding in a Jupyter environment.
+* [Lets-Plot](https://lets-plot.org) - An open-source plotting library supporting visualization of geospatial data on static or interactive maps.
 * [lidar](https://github.com/giswqs/lidar) - Terrain and hydrological analysis using digital elevation models (DEMs).
 * [localtileserver](https://github.com/banesullivan/localtileserver) - A Python package for serving tiles from large raster files in the Slippy Maps standard (i.e., `/zoom/x/y.png`) for visualization in Jupyter with `ipyleaflet` or `folium`.
 * [LT-ChangeDB](https://github.com/eMapR/LT-ChangeDB) - Scripts to extract spectral change information from LandTrendr data to a geodatabase.