Thanks to a bit of a prod by @Southside I did some much needed tidying up. (Was not initially intended to be shared)
Anyhow, it moved to a new repo. The 3 scripts that generate the graphs are now combined into 1.
The accompanying scripts are not yet tested but will be as soon.
So @storage_guy if you want wild west… it is in a new repo.
You could just grab all_graphs.py and run it directly and be golden… 
@Josh Love it! I gathered the stats from when I joined the DataDebug party, a few hours late admittedly.
All I had to do was install 3 Python modules that were needed:-
pip3 install pandas
pip3 install plotly
pip3 install matplotlib
This totally deserves its own page like vdash has! How do we make that happen?
Thanks, nice to see it being used but there is still work to be done before it is worthy of it’s own thread. Happy to do so once I feel that it is ready for that, still some issues that need resolved.
I was using the PID’s for each node as a short and easy identifier but even though that went well for a while suddenly in this test my machines started assigning PIDs that clash causing a mess.
So I have now changed to using the machineLog and nodeNumber 1:10 instead, it is easy to locate the node and having clashing identifiers can go to hell.
so you should if you are using mutiple machines pull latest.
Very good! We’ll let you go at your own pace. I think it’s ready for prime time though even if there are improvements to be made. That’s never stopped MaidSafe from putting their stuff out there! 
I think I’m going to splash out on another Instance to run 40 nodes on so I’ll set up the new version on the new one and give it a go. I feel like keeping the old one running the current version so I don’t lose the stats.
Can’t argue that, probably better than here. I’ll do a little housekeeping and then create a thread.
