interactive_tutorials VS danbooru

For those wanting to play with graphs and ML I was browsing the arangodb docs recently and I saw that it includes integrations to various graph libraries and machine learning frameworks [1]. I also saw a few jupyter notebooks dealing with machine learning from graphs [2].

Integrations include:

* NetworkX -- https://networkx.org/

* DeepGraphLibrary -- https://www.dgl.ai/

* cuGraph (Rapids.ai Graph) -- https://docs.rapids.ai/api/cugraph/stable/

* PyG (PyTorch Geometric) -- https://pytorch-geometric.readthedocs.io/en/latest/

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1: https://docs.arangodb.com/3.11/data-science/adapters/

2: https://github.com/arangodb/interactive_tutorials#machine-le...

This is par for the course for me: I want to run this software

https://github.com/danbooru/danbooru

and the compose file “just doesn’t work” because it is a few years old and not compatible with the docker compose version installed with Ubuntu. I took a crack at updating the config file but didn’t find a lot of documentation to help…. And remember I’ve frequently had “simple” Docker installations become a matter of “download files for hours, have the installation fail, repeat…” so engaging with that monster at all seems like a risky time sink.

Really though an open source product has not really been released until there is documentation walking through setting it up and doing some simple thing with it. As it is I am really not so sure what it is, what kind of hardware it can run on, etc. Do you really think it got 117 Github stars from people who were qualified to evaluate it?

(I’d consider myself qualified to evaluate it.. If I put two weeks into futzing with it.)

Every open source release I’ve done that’s been successful has involved me spending almost as much time in documentation, packaging and fit-and-finish work as I did getting working it well enough for me. It’s why I dread the thought of an open source YOShInOn as much as I get asked for it.

Sometimes though it is just a bitch. I have some image curation projects and was thinking of setting up some “booru” software and found there wasn’t much out there that was easy to install because there are so many moving parts and figured I’d go for the motherf4r of them all because at least the docker compose here is finite

https://github.com/danbooru/danbooru

even if it means downloading 345TB of images over my DSL connection.

Danbooru is open source under a permissive license (https://github.com/danbooru/danbooru), so you can fork it and add features from there

Does this need to be a tracker? I think this might be better suited to an image board. You can look into running your own instance of Danbooru.

Danbooru itself is opensource: https://github.com/danbooru/danbooru