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apache-airflow-providers-opensearch

Provider package apache-airflow-providers-opensearch for Apache Airflow

Worth itPyPI MonitoringReleased Aug 2026605.9K downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — apache_airflow_providers_opensearch-1.12.0-py3-none-any.whl
v1.12.0 · released 2026-08-08 · Python >=3.10 · 3 runtime deps: apache-airflow, apache-airflow-providers-common-compat, opensearch-py

Yes. This is a production-stable, actively maintained provider package with low install friction and no known vulnerabilities. Install it if you run Apache Airflow >=3.0.0 and need to integrate OpenSearch into your data pipelines. The Apache-2.0 license poses no restrictions.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Apache Airflow >=3.0.0 and Python >=3.10.
  • Low install friction; released 6 days ago with active maintenance.
  • Requires Apache Airflow >=3.0.0, apache-airflow-providers-common-compat >=1.12.0, and opensearch-py >=2.2.0.

License · maintenance · safety

Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions.

last release 2026-08-08 (6 days) · last repo commit 2026-08-14 · 46,490 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 605,888 downloads/mo, #5,794 on PyPI

Verify before relying

pip install apache-airflow-providers-opensearch

from airflow.providers.opensearch.operators.opensearch import OpenSearchOperator
from airflow import DAG

with DAG('opensearch_dag') as dag:
    task = OpenSearchOperator(task_id='query', ...)
  • Which specific OpenSearch operators and hooks are available in this provider package.
  • Whether the package supports both OpenSearch and legacy Elasticsearch clusters.
  • Performance characteristics when indexing or querying large datasets through Airflow.
Same gist for agents: .md · .json

What it is and what it does

This is an Apache Airflow provider package that bridges Airflow and OpenSearch, enabling you to build data pipelines that interact with OpenSearch clusters. It supplies operators and hooks for common OpenSearch tasks—querying, indexing, and cluster management—that you can wire into Airflow DAGs. The package depends on apache-airflow (>=3.0.0), apache-airflow-providers-common-compat (>=1.12.0), and opensearch-py (>=2.2.0), and is marked Production/Stable.

You install it on top of an existing Airflow environment and use its classes from the airflow.providers.opensearch namespace. It supports Python 3.10 through 3.14 and is actively maintained by the Apache Airflow project, with a recent release and no known security vulnerabilities.

Use it for

  • Index data into OpenSearch from Airflow tasks as part of a larger ETL pipeline.
  • Query OpenSearch clusters to retrieve results and pass them downstream in a DAG.
  • Monitor OpenSearch cluster health and performance through Airflow-scheduled checks.
  • Automate bulk operations (updates, deletes, inserts) on OpenSearch indices on a schedule.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

This is a production-stable, actively maintained provider package with low install friction and no known vulnerabilities. Install it if you run Apache Airflow >=3.0.0 and need to integrate OpenSearch into your data pipelines. The Apache-2.0 license poses no restrictions.

Install

apache-airflow-providers-opensearch on PyPI

Before you install

Low install friction; released 6 days ago with active maintenance. Requires Apache Airflow >=3.0.0, apache-airflow-providers-common-compat >=1.12.0, and opensearch-py >=2.2.0.

Requires Apache Airflow >=3.0.0 and Python >=3.10.

License in practice

Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions.

Quickstart

pip install apache-airflow-providers-opensearch

from airflow.providers.opensearch.operators.opensearch import OpenSearchOperator
from airflow import DAG

with DAG('opensearch_dag') as dag:
    task = OpenSearchOperator(task_id='query', ...)

Verify before relying

  • Which specific OpenSearch operators and hooks are available in this provider package.
  • Whether the package supports both OpenSearch and legacy Elasticsearch clusters.
  • Performance characteristics when indexing or querying large datasets through Airflow.

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
3 packages
apache-airflowapache-airflow-providers-common-compatopensearch-py
MaintenanceActively maintained 6 days since the last release
Last repo commit
First released
Downloads605,888 / month, #5,794 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone 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_opensearch-1.12.0-py3-none-any.whl

Tags

Capabilities
airflow opensearch integrationopensearch operator airflowairflow opensearch provideropensearch connector airflowairflow opensearch tasksopensearch airflow dagairflow opensearch hooks
Topics
airflow-provideropensearch-integrationdata-pipeline
PyPI keywords
airflow-provideropensearchairflowintegration

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See also apache-airflow-providers-elasticsearch · apache-airflow-providers-keycloak · apache-airflow-providers-openai · apache-airflow-providers-apache-cassandra · apache-airflow-providers-arangodb · apache-airflow-providers-neo4j · apache-airflow-providers-zendesk · apache-airflow-providers-standard · apache-airflow-providers-weaviate · apache-airflow-providers-qdrant