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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
458228295 https://github.com/pydata/xarray/issues/819#issuecomment-458228295 https://api.github.com/repos/pydata/xarray/issues/819 MDEyOklzc3VlQ29tbWVudDQ1ODIyODI5NQ== stale[bot] 26384082 2019-01-28T17:38:57Z 2019-01-28T17:38:57Z NONE

In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity If this issue remains relevant, please comment here; otherwise it will be marked as closed automatically

 
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206429373 https://github.com/pydata/xarray/issues/819#issuecomment-206429373 https://api.github.com/repos/pydata/xarray/issues/819 MDEyOklzc3VlQ29tbWVudDIwNjQyOTM3Mw== forman 206773 2016-04-06T15:29:27Z 2016-04-06T15:29:27Z NONE

Thanks for the prompt reply!

Once we have decided to use xarray for our project(s) and once we familiarized with its internals, we'll be happy to contribute and support you! Currently we all feel a bit dizzy about the many options we have and how to decide which way to go: Create our own library using xarray or build on UK MetOffice's Iris, Apache OCW, or Max-Planck-Institute's CDO, etc.

 
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