apache-airflow-providers-apache-tinkerpop
Provider package apache-airflow-providers-apache-tinkerpop for Apache Airflow
Decision gist · record as of 2026-08-14
Yes, if you are running Apache Airflow 2.11.0 or later and need to orchestrate TinkerPop graph operations. The package is actively maintained, carries no security vulnerabilities, installs with low friction, and is licensed permissively. Install only if you have a concrete need to integrate Gremlin queries or graph analytics into Airflow DAGs.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Apache Airflow 2.11.0 or later and Python 3.10 or later; a running TinkerPop-compatible graph database or Gremlin Server endpoint must be accessible.
- Low friction installation as a pure Python wheel.
- Actively maintained with recent release and no known vulnerabilities.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache License 2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions.
last release 2026-06-07 (68 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 486,006 downloads/mo, #6,394 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-providers-apache-tinkerpop
from airflow.providers.apache.tinkerpop import GremlinOperator
task = GremlinOperator(task_id='query', gremlin_script='g.V().count()')- What specific graph databases and Gremlin Server versions are supported by this provider.
- Whether connection configuration and authentication methods are documented for different TinkerPop backends.
- Performance characteristics when orchestrating large-scale graph queries or analytics workloads.
What it is and what it does
This is an Apache Airflow provider package that adds support for Apache TinkerPop graph computing framework and Gremlin graph traversal language. It allows you to orchestrate graph database operations (OLTP) and graph analytics (OLAP) as tasks within Airflow DAGs. The package wraps TinkerPop functionality through gremlinpython, letting you define and execute Gremlin queries as part of larger data workflows.
The provider is built on top of apache-airflow and apache-airflow-providers-common-compat, following Airflow's standard provider architecture. It targets developers and system administrators who need to integrate graph computing into their data pipelines, supporting Python 3.10 through 3.14. The package is actively maintained and carries no known security vulnerabilities.
Use it for
- Orchestrate Gremlin queries against graph databases as part of multi-step data pipelines in Airflow.
- Schedule and monitor graph analytics jobs that traverse or analyze graph structures on a regular basis.
- Integrate graph database operations with other Airflow providers to build end-to-end data workflows.
- Automate graph data transformations and aggregations as dependencies in larger ETL processes.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are running Apache Airflow 2.11.0 or later and need to orchestrate TinkerPop graph operations.
The package is actively maintained, carries no security vulnerabilities, installs with low friction, and is licensed permissively. Install only if you have a concrete need to integrate Gremlin queries or graph analytics into Airflow DAGs.
Install
apache-airflow-providers-apache-tinkerpop on PyPI
Before you install
Low friction installation as a pure Python wheel. Actively maintained with recent release and no known vulnerabilities. Requires Apache Airflow 2.11.0 or later and gremlinpython 3.8.0 or later.
Requires Apache Airflow 2.11.0 or later and Python 3.10 or later; a running TinkerPop-compatible graph database or Gremlin Server endpoint must be accessible.
License in practice
Licensed under Apache License 2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions.
Quickstart
pip install apache-airflow-providers-apache-tinkerpop
from airflow.providers.apache.tinkerpop import GremlinOperator
task = GremlinOperator(task_id='query', gremlin_script='g.V().count()')Verify before relying
- What specific graph databases and Gremlin Server versions are supported by this provider.
- Whether connection configuration and authentication methods are documented for different TinkerPop backends.
- Performance characteristics when orchestrating large-scale graph queries or analytics workloads.
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-compatgremlinpython |
| Maintenance | Actively maintained 68 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 486,006 / month, #6,394 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_apache_tinkerpop-1.1.4-py3-none-any.whl
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See also gremlinpython · apache-airflow-providers-neo4j · apache-airflow-providers-pinecone · apache-airflow-providers-zendesk · apache-airflow-providers-apache-beam · apache-airflow-providers-singularity · apache-airflow-providers-grpc · apache-airflow-providers-informatica · apache-airflow-providers-vespa · apache-airflow-providers-jenkins