ORM with Graph-Databases like Neo4j in Python

Shameless plug... there is also my own ORM which you may also want to checkout: https://github.com/robinedwards/neomodel

It's built on top of py2neo, using cypher and rest API calls under hood, i.e no dependency on gremlin.

There are a couple choices in Python out there right now, based on databases' REST interfaces.

As I mentioned in the link @Peter provided, we're working on neo4django, which updates the old Neo4j/Django integration. It's a good choice if you need complex queries and want an ORM that will manage node indexing as well- or if you're already using Django. It works very similarly to the native Django ORM. Find it on PyPi or GitHub.

There's also a more general solution called Bulbflow that is supposed to work with any graph database supported by Blueprints. I haven't used it, but from what I've seen it focuses on domain modeling - Bulbflow already has working relationship models, for example, which we're still working on- but doesn't much support complex querying (as we do with Django querysets + index use). It also lets you work a bit closer to the graph.