There are several solutions out there, but basically every one is using the same approach: create layer on top of your source to let you query at high level create a front end layer to talk with the level explained above use the visualization tool you want As miro marchi pointed, there are several solutions … Read more
D3 is for charts and mostly static graphs. Cytoscape.js lets you manipulate highly-customisable and interactive graphs, and has an API as easy to use as jQuery. D3 is for arbitrary SVG. This means that although it can be used to make lots of different things, you have to build the renderer, interaction, and model yourself. … Read more
The Graphviz tools appear to display distinct edges. For example, giving this: digraph G { A -> B; A -> B; A -> B; B -> C; B -> A; C -> B; } to dot produces: Graphviz’s input language is pretty simple so you can generate it on your own, though searching for “python … Read more
Kinda finished I guess.. code can be found here at github. Documentation is included in the file. The yellow/magenta color (for positive/negative correlation) is configurable, as well as the fontsize of the labels and the angles at which the labels are plotted, so you can get fancy if you want and not distribute them evenly … Read more
You can have a look at JUNG (Java Universal Network/Graph Framework) which has visualization and analytics functions. It’s open source.
Here’s a recipe I copied from one of Alex Mordvintsev deep dream notebook at some point from IPython.display import clear_output, Image, display, HTML import numpy as np def strip_consts(graph_def, max_const_size=32): “””Strip large constant values from graph_def.””” strip_def = tf.GraphDef() for n0 in graph_def.node: n = strip_def.node.add() n.MergeFrom(n0) if n.op == ‘Const’: tensor = n.attr[‘value’].tensor size … Read more
Gephi is an amazingly good, open source graph visualization software. It uses dot language like GraphViz.