NeoAlchemy is a SqlAlchemy-like tool for working with the Neo4J graph database in Python. It is intended to be very easy to use, and intuitively familiar to anyone who has used SqlAlchemy and/or the Cypher Query Language.
NeoAlchemy is built on top of the Neo4J Bolt driver and only supports Neo4J 3.0+ connected over the Bolt protocol. It supports Python 2.7 and 3.3+.
NeoAlchemy is available on PyPI, so it can be installed normally using
pip install neoalchemy. NeoAlchemy is built on top of the official Neo4J
Python driver. If you install from PyPI, this will automatically be
installed alongside it. You can also install the dependencies using pip install -r requirements.txt.
Questions, support requests, comments, and contributions should be directed to GitHub accordingly.
import uuid
from neoalchemy import Create, Node, Property, Graph
from neoalchemy.validators import UUID
graph = Graph()
person = Node('Person', # primary label
uuid=Property(unique=True, type=UUID, default=uuid.uuid4),
real_name=Property(indexed=True),
screen_name=Property(indexed=True, type=str.lower),
age=Property(type=int)
)
# Emit schema-generating DDL
graph.schema.create(person)
person.real_name = 'Alison'
person.screen_name = 'Ali42'
person.age = 29
create = Create(person)
graph.query(create, **create.params)Learn more about the QueryBuilder API.
import uuid
from neoalchemy import OGMBase, Property, Graph
from neoalchemy.validators import UUID
class Person(OGMBase):
graph = Graph()
uuid = Property(unique=True, type=UUID, default=uuid.uuid4)
real_name = Property(indexed=True)
screen_name = Property(indexed=True, type=str.lower)
age = Property(type=int)
# Cypher schema generation emitted automatically
# No user action required
Person(real_name='Alison', screen_name='Ali42', age=29).create()