octogrid

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.

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for octogrid 1.3.0
File	Size	Uploaded
octogrid-1.3.0.tar.gz	9.3 kB	Feb 25, 2016	Details

Download URL	octogrid-1.3.0.tar.gz
Size	9.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`b3f8dffa564ddba9d38761495bf95ea9cd58c53c6cd2d4422d71893fae44f7bc`
BLAKE2b-256 checksum How to use checksums	`d06c876975c4b850db17e36e6d898a3b7875b9bfe6c7d3696939abf7eb0c82c1`
Upload date	Feb 25, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No