To start creating a Neo4j Python application, you first need to install the Python Driver and get a Neo4j database instance to connect to.
pip to install the Neo4j Python Driver (requires Python >= 3.7):
pip install neo4j
Always use the latest version of the driver, as it will always work both with the previous Neo4j LTS release and with the current and next major releases.
5.x driver supports connection to any Neo4j 5 and 4.4 instance, and will also be compatible with Neo4j 6.
For a detailed list of changes across versions, see the driver’s changelog.
To get the driver on an air-gapped machine, download the latest driver tarball and install it with
You need a running Neo4j database in order to use the driver with it.
The easiest way to spin up a local instance is through a Docker container (requires
The command below runs the latest Neo4j version in Docker, setting the admin username to
neo4j and password to
docker run \ -p7474:7474 \ # forward port 7474 (HTTP) -p7687:7687 \ # forward port 7687 (Bolt) -d \ # run in background -e NEO4J_AUTH=neo4j/secretgraph \ # set login credentials neo4j:latest
Alternatively, you can obtain a free cloud instance through Aura. Take a note of the connection URI and of the login credentials.
A Long Term Support release is one guaranteed to be supported for a number of years. Neo4j 4.4 is LTS, and Neo4j 5 will also have an LTS version.
Aura is Neo4j’s fully managed cloud service. It comes with both free and paid plans.
Driverobject holds the details required to establish connections with a Neo4j database. Every Neo4j-backed application requires a
Cypher is Neo4j’s graph query language that lets you retrieve data from the graph. It is like SQL, but for graphs.
Awesome Procedures On Cypher (APOC) is a library of (many) functions that can not be easily expressed in Cypher itself.
Bolt is the protocol used for interaction between Neo4j instances and drivers. It listens on port 7687 by default.
Atomicity, Consistency, Isolation, Durability (ACID) are properties guaranteeing that database transactions are processed reliably. An ACID-compliant DBMS ensures that the data in the database remains accurate and consistent despite failures.
- eventual consistency
A database is eventually consistent if it provides the guarantee that all cluster members will, at some point in time, store the latest version of the data.
- causal consistency
A database is causally consistent if read and write queries are seen by every member of the cluster in the same order. This is stronger than eventual consistency.
The null marker is not a type but a placeholder for absence of value. For more information, see Cypher Manual — Working with
A transaction is a unit of work that is either committed in its entirety or rolled back on failure. An example is a bank transfer: it involves multiple steps, but they must all succeed or be reverted, to avoid money being subtracted from one account but not added to the other.
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