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/394#issuecomment-602907207,https://api.github.com/repos/simonw/datasette/issues/394,602907207,MDEyOklzc3VlQ29tbWVudDYwMjkwNzIwNw==,127565,2020-03-23T23:12:18Z,2020-03-23T23:12:18Z,CONTRIBUTOR,"This would also be useful for running Datasette in Jupyter notebooks on [Binder](https://mybinder.org/). While you can use [Jupyter-server-proxy](https://github.com/jupyterhub/jupyter-server-proxy) to access Datasette on Binder, the links are broken.

Why run Datasette on Binder? I'm developing a [range of Jupyter notebooks](https://glam-workbench.github.io/) that are aimed at getting humanities researchers to explore data from libraries, archives, and museums. Many of them are aimed at researchers with limited digital skills, so being able to run examples in Binder without them installing anything is fantastic.

For example, there are a [series of notebooks](https://glam-workbench.github.io/trove-harvester/) that help researchers harvest digitised historical newspaper articles from Trove. The metadata from this harvest is saved as a CSV file that users can download. I've also provided some extra notebooks that use Pandas etc to demonstrate ways of analysing and visualising the harvested data.

But it would be really nice if, after completing a harvest, the user could spin up Datasette for some initial exploration of their harvested data without ever leaving their browser.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",396212021,