How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
MovingPandas - a Python library for movement data exploration and analysis
dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium
A command-line tool for reducing the size of GeoJSON files.
Extract and analyze space-time-series characteristics from raster data.
geobeam adds GIS capabilities to your Apache Beam pipelines.
The main features of googlecloudplatform/dataflow-geobeam are: Geospatial Big Data, Python Geospatial Libraries.
Open-source alternatives to googlecloudplatform/dataflow-geobeam include: anitagraser/movingpandas — MovingPandas - a Python library for movement data exploration and analysis. banesullivan/localtileserver — dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium. ben-nour/geojson-shave — A command-line tool for reducing the size of GeoJSON files. buntinglabs/mundipy — mundipy is a Python framework for spatial data manipulation. ceholden/yatsm — Yet Another Time Series Model. adbeda/ts-raster — Extract and analyze space-time-series characteristics from raster data.