html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/1850#issuecomment-483336107,https://api.github.com/repos/pydata/xarray/issues/1850,483336107,MDEyOklzc3VlQ29tbWVudDQ4MzMzNjEwNw==,1217238,2019-04-15T17:03:27Z,2019-04-15T17:03:27Z,MEMBER,"@teoliphant thanks for sharing your thoughts!

I would be very happy to collaborate on what a protocol for labeled arrays in Python could look like. Xarray is one useful implementations of labeled arrays, but it's definitely not the only one.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,290593053
https://github.com/pydata/xarray/issues/1850#issuecomment-483333879,https://api.github.com/repos/pydata/xarray/issues/1850,483333879,MDEyOklzc3VlQ29tbWVudDQ4MzMzMzg3OQ==,1217238,2019-04-15T16:57:08Z,2019-04-15T16:57:08Z,MEMBER,"For what it's worth, TensorFlow has decided that bundling contrib modules into TensorFlow as `tensorflow.contrib` was a big mistake. It helped with discoverability, but resulted in a lot of confusion about what is a supported API and what isn't.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,290593053
https://github.com/pydata/xarray/issues/1850#issuecomment-368201831,https://api.github.com/repos/pydata/xarray/issues/1850,368201831,MDEyOklzc3VlQ29tbWVudDM2ODIwMTgzMQ==,1217238,2018-02-24T05:30:01Z,2018-02-24T05:30:01Z,MEMBER,"Personally I'd rather have ""awesome xarray"" listed somewhere prominently in
the xarray docs, along with mentions inline in the docs anywhere where they
are particularly relevant . The very short list that is currently there is
based upon a handful of projects that I knew about a few years ago, but
it's definitely woefully out of date now.
On Fri, Feb 23, 2018 at 9:23 PM Noah D Brenowitz <notifications@github.com>
wrote:

> @maxim-lian <https://github.com/maxim-lian> There is a very short list of
> such packages hidden in the xarray documention
> <http://xarray.pydata.org/en/stable/internals.html?highlight=xgcm#extending-xarray>
> .
>
> In general, there are a ton of these awesome-... repos floating around
> the internet which just list the useful/related tools/libraries which are
> related to ... . For example, there are repos out there like
> awesome-python <https://github.com/vinta/awesome-python> and awesome-bash.
> Maybe someone could start an awesome-xarray package.
>
> —
> You are receiving this because you were mentioned.
> Reply to this email directly, view it on GitHub
> <https://github.com/pydata/xarray/issues/1850#issuecomment-368201527>, or mute
> the thread
> <https://github.com/notifications/unsubscribe-auth/ABKS1oUunEGU95WyDsCgTYpuXKdybftIks5tX5y4gaJpZM4RoiXN>
> .
>
","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,290593053
https://github.com/pydata/xarray/issues/1850#issuecomment-359959683,https://api.github.com/repos/pydata/xarray/issues/1850,359959683,MDEyOklzc3VlQ29tbWVudDM1OTk1OTY4Mw==,1217238,2018-01-23T22:54:51Z,2018-01-23T22:54:51Z,MEMBER,"I think domain specific dependencies are a pretty decisive argument in favor of the separate repository model.

TensorFlow doesn't relax its code quality standards for contrib packages -- it's more about reducing guarantees of API stability or maintenance. That works OK for TensorFlow in part because the authors of most contrib packages are Google software engineers.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,290593053