A lib generating 2D artifacts might benefit from showcasing these artifacts using image technology for the curious minds.
As an example: I created this to build this embedding of Mastodon instances. https://h4kor.github.io/fediverse-explorer/
As a next step I want to refine this as peering itself does not say anything about how much users of these instances interact. For this I will have to sample the users of instances and who they follow.
Also how well will this scale for large numbers of nodes, say thousands? Currently using networkx I have to perform tens of thousands of iterations on the spring_layout to get quite mediocre results.
I implemented this because networkx was to memory consuming and too slow.
Where networkx crashed with 24k nodes I was able to embed them with this library, it will still take several hours, but at least it's doable. The number of iterations should be on same magnitude as the number of nodes. For my graph #Iteration = 1/2 #nodes was sufficient.