Peter Parente

> So what's the plan here? I opened #319 to document the status of all the dashboard work and start a discussion about what's next. As for the work required...

I see in the linked issue that the fix depends on the shims that @philippjfr contributed to ipywidgets master. We can pin bokeh to 0.11 for the time being to...

Two possible solutions: 1. webpack the ipympl JS into the dashboard server itself like we do with jupyter-js-widgets for ipywidgets 2. get a bundler to include the ipympl JS alongside...

@cbcunc Can you construct a minimal notebook that uses ipympl and evidences the problem without any external data as a test case? It'll give me a huge leg up in...

Thanks for creating the example. I'll see what I can do. Note to self: https://github.com/matplotlib/jupyter-matplotlib/tree/master/js

Jotting down notes ... For jupyter-js-widgets (the JavaScript code associated with ipywidgets), we: 1. Make it a dependency in package.json 2. Webpack it as part of the dashboard server build...

Leading into what I need to finish capturing on https://github.com/jupyter-incubator/dashboards_server/wiki/Widget-Support ... The libraries that tend to work best in the dashboard server at the moment are those that emit their...

Finally some time to dig into this. Good news, there's a quick-fix:  Need to step away, but will post back with the steps.

```bash # Create a conda environment with kernel gateway and nodejs in it conda create -n ipympl-example python=3 nodejs jupyter_kernel_gateway # Activate the environment source activate ipympl # Install ipympl...

`withCredentials` should work but we're not using it at the moment. Instead of running notebook servers which have human-centric auth, we're running kernel gateway servers which support programmatic, token-based `Authorization:...