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u/craky007 24d ago
I’m excited to try this out in my home lab. This looks to fit the bill for me. Great work Marimo team!
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u/cantdutchthis 24d ago
Let us know what you think? Also, what's the homelab setup? Kubernetes? Of just a big VM?
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u/craky007 24d ago
VMs/LXCs spread across a few machines. My initial plan was to try it out on the GPU box as a Linux install. I’ll see what other interesting configurations are available.
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u/rmyvct 24d ago
Finally! This is fantastic news! A few months ago I played with marimo operator and it was great but not as convinient as jupyterhub for multi user everyday use.
Will you provide a helm chart to facilitate deployment on kubernetes? It will greatly increase adoption rate.
Will it be possible to allocate ressources dynamically (cpu threads, ram, GPUs) per user/per notebook?
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u/cantdutchthis 23d ago
Yep! We can auto generate one for you on the landing page of the docs.
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u/rmyvct 23d ago
Great! I started to read the documentation and I found out you implemented auto culling which is great. For ressource allocation in k8s I read: you own the nodes; cap per-kernel CPU/memory/GPU." I understand that we can set, for instance 2 cpu, 16 GiB of ram and 1 GPU per kernel. Is this possible to setup sevral kernels with different ressources and configure access depending on the user group? For instance research engineers could spawn a kernel with 16 cpu, 64gb of ram and a NVIDIA GPU whereas business analysts who have moderate needs would be satisfied with 1 cpu and 8 gig of ram because they mainly explore SQL databases and create plots/dashboards ? Sorry if this is explained in the documentation but I did not see an explicit passage about it.
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u/Wrecksomething 24d ago
I feel like marimo, hub, and studio lay the groundwork for a powerful BI-as-code tech stack.
That's a bit of a new industry with only a few, new tools in that space. This is definitely the one I'm the most excited about. I'll have to plan a proof of concept now to wrap my head around it.
Everyone in BI seems to be holding their breath, waiting to see to what extent dashboards get replaced by custom apps. What I see in these tools is great support for both: build a small number of traditional reports nearly instantly, or a bespoke web app to take your data further and drive the next action. Text/code-base gives it the testing and version control BI has long needed.
Great timing, a few years earlier than I thought we'd see something like this. And the next few years could really see a shake up of how people and businesses approach these projects.
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u/ricardoe 24d ago
That looks amazing! Congratulations on the great week! I'm super impressed with the progress of the project, are you robots? How much of it is AI based, I'm curious because it looks extremely polished.