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GoogleCloudPlatform/dataflow-geobeamArchived

0
View on GitHub↗
87 stars·29 forks·Python·Apache-2.0·11 views

Dataflow Geobeam

geobeam adds GIS capabilities to your Apache Beam pipelines.

Features

  • Geospatial Big Data - GIS capabilities for Apache Beam pipelines on Dataflow.
  • Python Geospatial Libraries - Adds GIS capabilities to Apache Beam pipelines.

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Open-source alternatives to Dataflow Geobeam

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  • ben-nour/geojson-shaveben-nour avatar

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  • adbeda/ts-rasteradbeda avatar

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See all 30 alternatives to Dataflow Geobeam→

Frequently asked questions

What does googlecloudplatform/dataflow-geobeam do?

geobeam adds GIS capabilities to your Apache Beam pipelines.

What are the main features of googlecloudplatform/dataflow-geobeam?

The main features of googlecloudplatform/dataflow-geobeam are: Geospatial Big Data, Python Geospatial Libraries.

What are some open-source alternatives to googlecloudplatform/dataflow-geobeam?

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.