GitHub following network visualizer for Humans
octogrid in action
pip install octogrid
If you are facing issues (on Linux) with 'python-igraph', you should consider installing required libraries first.
apt-get install -y libigraph0-dev
You need to create an account on Plotly to see your visualizations, it's free.
Once you have an account there, execute the following in your terminal to setup your user credentials.
python -c "import plotly; plotly.tools.set_credentials_file(username='USERNAME', api_key='APIKEY')"
Your API key can be collected from here.
All these steps aren't compulsory, though. If you leave them, octogrid will create plots via its own account.
octogrid generate [--reset] [--user=<username>]
Generate the GML file for user representing its GitHub following graph
octogrid publish [--reset] [--user=<username>]
Publish the user's GitHub community graph using Plotly
--reset (optional) flag is used to clear the cache storage for a given user
MIT © Plotly.