octogrid

GitHub following network visualizer for Humans

octogrid in action

interactive version

Installation

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

How to

• 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.

Usage

• 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

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License

MIT © Plotly.