Tony Hirst

The [jupyterLab-iframe](https://github.com/timkpaine/jupyterlab_iframe) looks to support a welcome page facility, but it runs as a server extension, so I'm guessing will not work in JupuyterLite (not had a chance to try...

A [recent PR](https://github.com/jupyterlab/jupyter-ai/pull/334) to `jupyter-ai` added support for the locally run LLMs as well as as hosted LLMs. If the locally hosted LLM can be accessed via an http API,...

I also note that this repo builds on [`jupyter-xeus/xeus-sqlite`](https://github.com/jupyter-xeus/xeus-sqlite/), and that repo has upstream fixes such as https://github.com/jupyter-xeus/xeus-sqlite/pull/119 that will need to be tracked here and in downstream demo environments...

The [`timeago`](https://github.com/hustcc/timeago) package will format a datetime object as a "X time ago" statement. It might also be useful to be able to convert a timedelta, or time in seconds,...

I've done a demo [here](https://ouseful-pr.github.io/nbpreview/) that uses a modified [notebook.js](https://github.com/ouseful-PR/notebookjs/commit/4fea066a2331cc07fd3ae91d35a9021a7dbd730f) with a very simplistic approach to code rendering and a [tweak](https://github.com/ouseful-PR/nbpreview/commit/dda5030fa31a750da40897b609c905720813041c) to the `nbpreview` demo to add in a ThebeLab...

I have no idea! (I'm an optimistic tinkerer rather than a developer who knows how to do things properly!) Will ponder it... I'll also see if I can do another...

An intermediate way of doing this is to save a dummy SVG and then view it in the notebook: ``` from IPython.display import SVG graph.write_svg('test.svg') SVG('test.svg') ```

I've made some sort of attempt at this here: https://github.com/innovationOUtside/ipython_magic_sqlalchemy_schemadisplay

I have a general use case that relates to this thread: an academic running their own local jupyter notebook server which suits their needs most of the time, but who...

Hi Kevin Thanks for spending a few cycles noodling this :-) (I don't really have much understanding of how the Jupyter plumbing works; it's something that I keep meaning to...