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Xmd5a ◴[] No.42741362[source]
I only use diagramming tools with automatic layout algos to generate visualizations programmatically to debug things. For documentation purpose, I largely prefer to draw them by hand using OmniGraffle, because making graphs look nice using tools like graphviz is very complex and you find yourself abusing features to hack your vision into reality

What's dearly needed in my opinion is a graph layout algo based on a machine learning model (so that it can take into account readability and aesthetics). Unfortunately what I found so far is mostly concerned with displaying large graphs, which is kind of another domain altogether.

I hope Mermaid is collecting every single edition point that happens on their UI, that would make for a nice dataset I guess.

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Xmd5a ◴[] No.42741465[source]
Also, some interesting links I stumbled upon while exploring this space:

Graphviz-like generic graph-drawing library. More options, more control.

https://eclipse.dev/elk/

Experiments by the same team responsible for the development of ELK, at Kiel University

https://github.com/kieler/KLighD

Kieler project wiki

https://rtsys.informatik.uni-kiel.de/confluence/display/KIEL...

Constraint-based graph drawing libraries

https://www.adaptagrams.org/

JS implementation

https://ialab.it.monash.edu/webcola/

Some cool stuff:

HOLA: Human-like Orthogonal Network Layout

https://ialab.it.monash.edu/~dwyer/papers/hola2015.pdf

Confluent Graphs demos: makes edges more readable.

https://www.aviz.fr/~bbach/confluentgraphs/

Stress-Minimizing Orthogonal Layout of Data Flow Diagrams with Ports

https://arxiv.org/pdf/1408.4626.pdf

Improved Optimal and Approximate Power Graph Compression for Clearer Visualisation of Dense Graphs

https://arxiv.org/pdf/1311.6996v1.pdf

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1. yencabulator ◴[] No.42749471[source]
I think you'd like https://treevis.net