graphlite

|Build|

Graphlite is an MIT-licensed graph DB for Python.

There are currently no embedded graph databases for Python. Graphlite aims to change that by building a simple and fast graph layer over SQLite. Similar to FlockDB, Graphlite only stores adjacency lists, but they can be queried in the style of normal graph databases, e.g. with traversals.

.. code-block:: python

>>> import graphlite as g
>>> db = g.connect(':memory:', graphs=['knows'])

>>> with db.transaction() as t:
...     for person in [2, 3]:
...         t.store(g.V(1).knows(person))
...

>>> db.find(g.V(1).knows).to(list)
[2, 3]

Graphlite inherits it's API from that of FlockDB's. Also, like FlockDB Graphlite only stores the relations between the nodes, which are integers- not the data of the nodes themselves. You will therefore need a high performance database like BerkleyDB or one of the dbm implementations to store your data.

Features

• Small, easy to learn API with around 100% coverage
• Lazy generator based API when querying
• Highly documented codebase

Installation

To install Graphlite, simply::

$ pip install graphlite

.. |Build| image:: https://img.shields.io/travis/eugene-eeo/graphlite.svg :target: https://travis-ci.org/eugene-eeo/graphlite/