How to properly plot a tree (27k nodes) using a circular tree / leave layout

I have this (unbalanced) tree with 27k+ nodes. It is an hierachy. Now I would to plot it as such to obtain a plot something like this (no idea how you would describe it, but I would call it a circular leave tree...?

enter image description here

However, I am unable to achieve such a result unfortunately. I have already tried igraph, Networkx, Maltego, Graphviz, Gephi. Hopefully someone can help me / give me tips & tricks or hints.

Maltego

Gives me quiet easily the following. However I cannot export it to pdf. Furthermore it has this wierd expansion on the top going to the left. I would be able to 'manually' (minimize) move it. However that is not what I would like.

This is btw in my view (with the manual fix) the best result. But I cannot export it to vector or high-res image.

enter image description here

igraph

import igraph as ig
bigGraphAsTupleList = (('a','b'),('b','c'),('b','d'), ..., ('c','e'))
g = ig.Graph.TupleList(bigGraphAsTupleList)
layout = g.layout("rt_circular") #fr (fruchterman reingold), tree, circle, rt_circular (reingold_tilford_circular)
# bbox = size of picture
ig.plot(g,layout=layout,bbox=(10000,10000),target='mygraph.png')

This gives me something like below.

reingold tilford circular enter image description here

fruchterman reingold (so much overlap of nodes and connections) enter image description here

Networkx

import networkx as nx
import matplotlib.pyplot as plt
G = nx.Graph()
G.add_edge(...) #build graph
nx.draw_circular(G) #nx.draw_spring(G) #nx.draw_spectral
plt.draw()
plt.show()

enter image description here

Graphviz (via Networkx)

Also a wierd result a bit similar as the next one Maltego. However

import networkx as nx
import matplotlib.pyplot as plt
import pydot
from networkx.drawing.nx_pydot import graphviz_layout
G = nx.Graph()
G.add_edge(...) #build graph
pos = graphviz_layout(G, prog="circo")
plt.figure(1,figsize=(60,60))
nx.draw(G, pos,node_size=10)
plt.show(block=False)
plt.savefig("Graph.png", format="PNG")

enter image description here

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