1.Belluxx / Aleph
Give satellite imagery, terrain data, buildings, streetview photos to your LLM
- 3d-city-model
- 3d-tiles
- geospatial
- gis
- gltf
- openstreetmap
- +2 more
+773 stars
from 30 · score 6.65
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Ranked by Attention Score: stars gained over the last 30 complete days
8 repositories by Attention Score · Oct 6, 2026 – Nov 4, 2026 (UTC)
2.gee-community / geemap
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
- google-earth-engine
- gis
- remote-sensing
- image-processing
- python
- jupyter-notebook
- +14 more
+32 stars
from 4,032 · score 3.50
3.microsoft / farmvibes-ai
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
- agriculture
- ai
- geospatial
- geospatial-analytics
- stac
- sustainability
- +3 more
+7 stars
from 900 · score 2.08
4.sentinel-hub / eo-learn
Earth observation processing framework for machine learning in Python
- machine-learning
- eo-data
- eo-research
- python-package
+5 stars
from 1,253 · score 1.79
5.mapbox / robosat
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
- satellite-imagery
- aerial-imagery
- machine-learning
- segmentation
- openstreetmap
+4 stars
from 2,063 · score 1.61
6.johntruckenbrodt / pyroSAR
framework for large-scale SAR satellite data processing
- radar
- sar
- gdal
- spatialite
- sar-satellite-data
- python
- +4 more
+2 stars
from 613 · score 1.10
7.doersino / aerialbot
A simple yet highly configurable Mastodon bot that posts geotagged aerial imagery of a random location in the world.
- google-maps
- maps
- map-tiles
- python3
- twitter-bot
- gis
- +8 more
+2 stars
from 233 · score 1.10
8.trailbehind / DeepOSM
Train a deep learning net with OpenStreetMap features and satellite imagery.
+1 stars
from 1,329 · score 0.69