README.rst

GraphI - Graphs for Humans

flighttime[berlin:london] = 3900
# graph    node    node     value

GraphI is a lightweight graph library - it is suitable to model networks, connections and other relationships. Compared to other graph libraries, GraphI aims for being as pythonic and accessible as possible. If you are comfortable using list, dict or other types, GraphI is intuitive and straight-forward to use.

from graphi import graph
# create a graph with initial nodes
airports = graph("New York", "Rio", "Tokyo")
# add connections between nodes
airports["New York":"Rio"] = timedelta(hours=9, minutes=50)
airports["New York":"Tokyo"] = timedelta(hours=13, minutes=55)

At its heart, GraphI is built to integrate with Python's data model. It natively works with primitives, iterables, mappings and whatever you need. For example, creating a multigraph can be as simple as using multiple edge values:

# add multiple connections between nodes
airports["Rio":"Tokyo"] = timedelta(days=1, hours=2), timedelta(days=1, hours=3)

With its general-purpose design, GraphI makes no assumptions about your data. You are free to use whatever is needed to solve your problem.

Getting started

If you just want to use GraphI, check out the documentation.

Development is hosted on github. If you have issues or want to propose changes, check out the issue tracker.