issue_comments: 359969044

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https://github.com/pydata/xarray/issues/1850#issuecomment-359969044 https://api.github.com/repos/pydata/xarray/issues/1850 359969044 MDEyOklzc3VlQ29tbWVudDM1OTk2OTA0NA== 4160723 2018-01-23T23:36:23Z 2018-01-23T23:36:23Z MEMBER

should it be in just one repository or in many?

One repository for all contrib projects would be hard to maintain if we allow very specific projects, like a little xarray extension to work with the 'xyz' GCM model (which seems to be a common case for extensions). That said, it doesn't prevent us from adding bigger, generic repositories like xarray-scipy.

but the sklearn-contrib packages are not that discoverable IMO.

Hence the suggestion to choose some convention for package naming, e.g., something similar to dask related packages: dask-learn, dask-glm, dask-xgboost, etc.

 
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