The remote client/server streaming has a bit to go, but just the option to use it in a browser is a game-changer. All the previous web-based tools that I’ve come across have been either very limited, or require significant manual setup.
What are some things you're missing on the client/server streaming? I'm aware that there is much to do but would love to hear your specific issues
- Working with large remote datasets/clusters - Needing to share visualizations with others [both interactive, and pre-recorded/controlled] - Being able to easy switch between N runs to look at data/results over time
Concretely:
- Currently it seems you need to forward multiple ports, and for each new session you need to re-connect. My memory is foggy but I found it was a lot of hassle to just connect a thin-desktop client to a remote backend.
- The support for baked-html is great, but it has limits (namely I was hitting some size limitations) and it would be cool to have a server that can read rr files from disk and stream them on-demand [e.g., point to a directory and let the user select]
- Generally speaking, I found the workflow difficult to integrate to the typical ML setup. Obviously not a priority for rerun but I think a little improvement [like the point above] could help a lot.
- A built-in screen recording feature would be great. I spent a lot of time screen recording and re-sharing clips.
Again, these are mainly nitpicks, love the tool overall and have recommended it to several people.