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> pick your battles
And your text-based diagram tools. Kroki[1] has merged block, sequence, Plant UML, packet, Mermaid, GraphViz, and numerous other textual diagram formats into a single API. A while back I integrated the API into my text editor so that I could use variables inside of diagrams[2] (such as character names in a sci-fi story).
[1]: https://kroki.io/
[2]: https://github.com/DaveJarvis/keenwrite/blob/master/docs/scr...
> pick your battles
And your text-based diagram tools. Kroki[1] has merged block, sequence, Plant UML, packet, Mermaid, GraphViz, and numerous other textual diagram formats into a single API. A while back I integrated the API into my text editor so that I could use variables inside of diagrams[2] (such as character names in a sci-fi story).
[1]: https://kroki.io/
[2]: https://github.com/DaveJarvis/keenwrite/blob/master/docs/scr...
Really glad to see this! Really want an easy way to render graphs in Rust without resorting to the graphiz binary.
What is the current status? Not seeing it listed anywhere, like if there are features that are not supported or if it uses certain layout algorithms but others are desired.
Would you be willing to make a `[lib]` available? I see you have a `lib.rs` but it'd be great if using it didn't require pulling in `[[bin]]` dependencies (you can mark them as optional and mark `required-features` on your bin like pulldown-cmark does [0] or split it into a separate crate in a workspace). It'd also be good to find an available name for the lib and get it published (looks like someone might be squatting on `layout`).
[0] https://github.com/raphlinus/pulldown-cmark/blob/master/Carg...
Yeah, more-and-more I am inclining building ML project for graph visualization.
I have worked on graph visualisation for some time, did https://github.com/nikolaydubina/jsonl-graph and https://github.com/nikolaydubina/go-graph-layout
Been studying research papers on graph visualization.
It looks like we need some Deep Learning / ML based approach to this.
There is just so much meaning is encoded into XY coordinates and edges. Basic algorithms like Sugiyama produce meaningful visualizations only for simple and basic graphs.
When number of edges goes to the roof or nodes.. basic algorithms break down. Graphs become meaningless.
You have to make graphs by hand to make sense of it.
Yeah, more-and-more I am inclining building ML project for graph visualization.
I have worked on graph visualisation for some time, did https://github.com/nikolaydubina/jsonl-graph and https://github.com/nikolaydubina/go-graph-layout
Been studying research papers on graph visualization.
It looks like we need some Deep Learning / ML based approach to this.
There is just so much meaning is encoded into XY coordinates and edges. Basic algorithms like Sugiyama produce meaningful visualizations only for simple and basic graphs.
When number of edges goes to the roof or nodes.. basic algorithms break down. Graphs become meaningless.
You have to make graphs by hand to make sense of it.
You can position everything manually exactly where you want it in graphviz without any of those tricks by using the neato engine.
I use scripts to manually place everything from data in csv files.
https://github.com/mathew-j-davis/boxesandarrows