Connecting to a local Neo4j database from a local jupyter notebook

Neo4j Graph Platform Desktop
1

I've got a local Neo4j instance running, and I want to connect to it via jupyter.

Eventually I want to do this from within AWS, but for now I'd settle for getting it going locally.

Here's the access information for my Neo4j instance:

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I've tried this in two ways, with Graph from py2neo and GraphDatabase from Neo4j.

With graphdb = Graph() I get this error:

ClientError: [Security.Unauthorized] The client is unauthorized due to authentication failure.

With graphdb = Graph("bolt://127.0.0.1:7687") I get the same error:

ClientError: [Security.Unauthorized] The client is unauthorized due to authentication failure.

So then I reset my password and gave graphdb = Graph("bolt://127.0.0.1:7687", secure=True, auth=("neo4j", "my password")) a shot, which generated this error:

ConnectionUnavailable: Cannot open connection to ConnectionProfile('bolt+s://neo4j@127.0.0.1:7687')

Interestingly, using GraphDatabase does at least connect: driver = GraphDatabase.driver("bolt://127.0.0.1:7687", auth=("neo4j", "my password"))

Now, I'm open to doing everything via GraphDatabase functionality, but it looks like most of the people doing similar work (reading and writing out of a graph database with Python and Neo4j) are doing most of this with py2neo.

Plus, it bothers me that I can't get a simple connection going.

But if the community thinks there's no reason to worry with py2neo because GraphDatabase can do everything I need, I'm fine going that way.