Large Scale Hydrology: Geocomputational tools that you use

• Dask

  32 11,982 9.7 Python

  Parallel computing with task scheduling

  

We're using a lot of Python. In addition to these, gridMET, Dask, HoloViz, and kerchunk.

• pysheds

  1 682 7.0 Python

  :earth_americas: Simple and fast watershed delineation in python.

For dem processing, taudem5 has a cli and arcgis toolbox and supposedly supports clusters for large problems. The gdal tools do not have a watershed tool afaik, but handle large datasets well and and can be called from a number of different languages. As others have mentioned, there are many python geoprocessing packages and some work well. I'd second rasterio, the python gdal bindings, and xarray. Pysheds looks interesting but haven't tried.

• WorkOS

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  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• gdal

  44 4,484 10.0 C++

  GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.

  

For dem processing, taudem5 has a cli and arcgis toolbox and supposedly supports clusters for large problems. The gdal tools do not have a watershed tool afaik, but handle large datasets well and and can be called from a number of different languages. As others have mentioned, there are many python geoprocessing packages and some work well. I'd second rasterio, the python gdal bindings, and xarray. Pysheds looks interesting but haven't tried.

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