html_url,issue_url,id,node_id,user,user_label,created_at,updated_at,author_association,body,reactions,issue,issue_label,performed_via_github_app
https://github.com/simonw/datasette/issues/1845#issuecomment-1279924827,https://api.github.com/repos/simonw/datasette/issues/1845,1279924827,IC_kwDOBm6k_c5MShpb,30636,kindly,2022-10-16T08:54:53Z,2022-10-16T08:54:53Z,NONE,"> It was part of a larger idea I was exploring around ensuring Datasette could be used to start interacting with CSV/JSON data out-of-the-box, without needing to first convert that data into SQLite using separate tools.

This would be great.  My organization deals with very nested JSON open data and I have been wanting to find a way to hook into datasette so that the analysts do not have to first convert to sqlite first.

This can kind of be done with datasette-lite. 

From this random nested JSON API:
https://api.nobelprize.org/v1/prize.json

You can use the API of https://flatterer.herokuapp.com to return a multi table sqlite database:

https://lite.datasette.io/?url=https://flatterer.herokuapp.com/api/convert?output_format=sqlite%26file_url=https://api.nobelprize.org/v1/prize.json

This is great and fun, but it would be great if there was some plugin mechanism that you could feed a local datasette a nested JSON file directly, possibly hooking into other flattening tools for this.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1410305897,Reconsider the Datasette first-run experience,