issue_comments: 206429373
This data as json
| 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/819#issuecomment-206429373 | https://api.github.com/repos/pydata/xarray/issues/819 | 206429373 | MDEyOklzc3VlQ29tbWVudDIwNjQyOTM3Mw== | 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. |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
146287030 |