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Tools for using and

Project description Documentation Status

Tools for using and



pip install rhg_compute_tools


  • easily spin up a preconfigured cluster with get_cluster(), or flavors with get_micro_cluster(), get_standard_cluster(), get_big_cluster(), or get_giant_cluster().
>>> import rhg_compute_tools as rhg
>>> cluster, client = rhg.get_cluster()



  • need to figure out how to use this rever thing


  • Bug fix again in rhg_compute_tools.kubernetes.get_worker


  • Bug fix in rhg_compute_tools.kubernetes.get_worker


  • Add xarray from delayed methods in rhg_compute_tools.xarray
  • rhg_compute_tools.gcs.cp_to_gcs now calls gsutil in a subprocess instead of operations. This dramatically improves performance when transferring large numbers of small files
  • Additional cluster creation helpers


  • New google compute helpers (see rhg_compute_tools.gcs.cp_to_gcs, rhg_compute_tools.gcs.get_bucket)
  • New cluster creation helper (see rhg_compute_tools.kubernetes.get_worker)
  • Dask helpers (see rhg_compute_tools.utils submodule)


  • First release on PyPI.

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