Skip to main content

embedded graph datastore

Project description

Graphlite

Build Downloads

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.

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

>>> with db.transaction():
...     for person in [2, 3]:
...         db.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

  • Thread-safe transactions with threading.Lock
  • 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

Project details


Release history Release notifications

This version
History Node

1.0.5

History Node

1.0.4

History Node

1.0.3

History Node

1.0.2

History Node

1.0.1

History Node

1.0.0

History Node

1.0.0-alpha

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
graphlite-1.0.5.tar.gz (6.1 kB) Copy SHA256 hash SHA256 Source None Dec 30, 2014

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page