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octogrid 1.3.0

GitHub following network visualizer for Humans

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.
 
File Type Py Version Uploaded on Size
octogrid-1.3.0.tar.gz (md5) Source 2016-02-25 9KB