issue_comments: 1321003094
This data as json
| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/simonw/datasette/issues/1886#issuecomment-1321003094 | https://api.github.com/repos/simonw/datasette/issues/1886 | 1321003094 | IC_kwDOBm6k_c5OvOhW | 9020979 | 2022-11-20T00:52:05Z | 2022-11-20T00:52:05Z | NONE | Happy birthday to datasette and thank you Simon for your continued effort on this project! I use datasette (python) as a fast layer on top of search for github projects using https://github.com/dogsheep/github-to-sqlite , and use the JSON API it provides to serve sample data to make Vega-Lite graphing workshop examples that don't require authentication/API keys. It's awesome to have a full SQL API support working without needing to develop any custom API middleware for both filtering and grouping. I've also enjoyed using it as a teaching tool for working with public dataset in [civic data workshops](https://2022.open-data.nyc/event/low-code-visual-data-exploration-with-nyc-public-data/) and as a platform for making visualization [plugins](https://github.com/hydrosquall/datasette-nteract-data-explorer) . I I'm especially excited about datasette-lite, as it will let people participate in future editions of this workshop without having to install anything to make use of their own tables :) | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 1447050738 |