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GitHub following network visualizer for Humans

Project description

GitHub following network visualizer for Humans

Latest Version Supported Python versions License Downloads

octogrid in action

interactive version

Communities in GitHub Following Network for @pravj


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;’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

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Plotly [Image Credit : Pensrulerstape - Own work, CC BY-SA 4.0, $3]


MIT © Plotly.

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