apache-airflow-providers-neo4j
Provider package apache-airflow-providers-neo4j for Apache Airflow
Decision gist · record as of 2026-08-14
Yes, if you run Apache Airflow and need to integrate Neo4j operations into your workflows. The package is production-stable, actively maintained, has no known vulnerabilities, and carries a permissive license. Install friction is low. The only prerequisite is an existing Airflow instance and a Neo4j connection configured in Airflow's connection store.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an existing Apache Airflow installation (>=2.11.0) and a configured Neo4j connection in Airflow's connection store.
- Low friction install as a pure-Python wheel.
- Active maintenance with a release 6 days old; the underlying Apache Airflow project has strong community backing (46490 stars).
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows use in commercial and private projects with minimal restrictions; you must include a copy of the license and note any modifications.
last release 2026-08-08 (6 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 366,845 downloads/mo, #7,202 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-providers-neo4j
from airflow.providers.neo4j.operators.neo4j import Neo4jOperator
query_task = Neo4jOperator(
task_id='run_query',
neo4j_conn_id='neo4j_default',
cypher_query='MATCH (n) RETURN n LIMIT 10'
)- Specific operators and hooks available beyond the base Neo4jOperator mentioned in the excerpt.
- Whether the provider supports Neo4j authentication methods (basic auth, Kerberos, LDAP, etc.).
- Performance characteristics or limitations for large graph queries in Airflow DAGs.
What it is and what it does
This is an Apache Airflow provider package that bridges Airflow's workflow orchestration engine with Neo4j graph databases. It supplies operators and hooks that allow you to define Airflow DAG tasks that execute Cypher queries, manage graph data, and integrate Neo4j operations into larger data pipelines. The package is maintained as part of the official Apache Airflow ecosystem and follows Airflow's provider plugin architecture.
You install it alongside an existing Airflow instance (version 2.11.0 or later) and a Neo4j driver (5.20.0 or later). Once installed, you can use its operators to construct tasks that read from, write to, or query your Neo4j instance as part of scheduled or triggered workflows. It is production-stable and actively maintained, with support for Python 3.10 through 3.14.
Use it for
- Schedule regular Cypher queries to extract or analyze graph data and feed results into downstream Airflow tasks.
- Build ETL pipelines that load data from external sources into Neo4j as part of a coordinated workflow.
- Orchestrate graph analytics jobs that depend on other data processing steps in a single DAG.
- Monitor Neo4j database health or query performance as part of a larger Airflow monitoring workflow.
- Synchronize graph data between Neo4j and other data systems (data lakes, warehouses) in a scheduled pipeline.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you run Apache Airflow and need to integrate Neo4j operations into your workflows.
The package is production-stable, actively maintained, has no known vulnerabilities, and carries a permissive license. Install friction is low. The only prerequisite is an existing Airflow instance and a Neo4j connection configured in Airflow's connection store.
Install
apache-airflow-providers-neo4j on PyPI
Before you install
Low friction install as a pure-Python wheel. Active maintenance with a release 6 days old; the underlying Apache Airflow project has strong community backing (46490 stars). Requires Airflow >=2.11.0, neo4j >=5.20.0, and apache-airflow-providers-common-compat >=1.10.1.
Requires an existing Apache Airflow installation (>=2.11.0) and a configured Neo4j connection in Airflow's connection store.
License in practice
Apache-2.0 permissive license allows use in commercial and private projects with minimal restrictions; you must include a copy of the license and note any modifications.
Quickstart
pip install apache-airflow-providers-neo4j
from airflow.providers.neo4j.operators.neo4j import Neo4jOperator
query_task = Neo4jOperator(
task_id='run_query',
neo4j_conn_id='neo4j_default',
cypher_query='MATCH (n) RETURN n LIMIT 10'
)Verify before relying
- Specific operators and hooks available beyond the base Neo4jOperator mentioned in the excerpt.
- Whether the provider supports Neo4j authentication methods (basic auth, Kerberos, LDAP, etc.).
- Performance characteristics or limitations for large graph queries in Airflow DAGs.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesapache-airflowapache-airflow-providers-common-compatneo4j |
| Maintenance | Actively maintained 6 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 366,845 / month, #7,202 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleEnvironment :: Web EnvironmentFramework :: Apache AirflowFramework :: Apache Airflow :: ProviderIntended Audience :: DevelopersIntended Audience :: System AdministratorsProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: System :: Monitoring |
Evidence: apache_airflow_providers_neo4j-3.12.1-py3-none-any.whl
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See also apache-airflow-providers-arangodb · apache-airflow-providers-git · apache-airflow-providers-cloudant · apache-airflow-providers-github · apache-airflow-providers-apache-beam · apache-airflow-providers-mongo · apache-airflow-providers-airbyte · apache-airflow-providers-apache-tinkerpop · apache-airflow-providers-weaviate · apache-airflow-providers-salesforce