apache-airflow-providers-common-messaging
Provider package apache-airflow-providers-common-messaging for Apache Airflow
Decision gist · record as of 2026-08-14
Yes, if you are running Apache Airflow >=3.0.1 and need to integrate messaging or event-driven capabilities into your workflows. The package is actively maintained, production-stable, permissively licensed, and has no known vulnerabilities. Install it only if your DAGs require messaging operators; it is not useful standalone without Airflow.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Apache Airflow >=3.0.1 and Python >=3.10; optional extras (amazon, apache.kafka) require additional provider packages.
- Low install friction as a pure Python wheel.
- Actively maintained with recent releases; requires Apache Airflow >=3.0.1.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive). You can use, modify, and distribute this package freely in commercial and private projects 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) · 325,548 downloads/mo, #7,585 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-providers-common-messaging
from airflow.providers.common.messaging import ...
# Use common messaging operators in your DAG definitions- Specific operators and classes available in the common.messaging module beyond the provider abstraction layer.
- Whether this provider alone enables messaging without installing optional extras (amazon or apache.kafka).
- Real-world messaging patterns and examples beyond the provider documentation.
What it is and what it does
This is an Apache Airflow provider package that supplies common messaging abstractions for building data pipelines that interact with message brokers and cloud messaging services. It serves as a bridge layer between Airflow workflows and messaging systems, allowing DAGs to send and receive messages through standardized operators and hooks.
The package is part of the official Airflow ecosystem and is actively maintained. It supports Python 3.10 through 3.14 and integrates with optional providers for Amazon messaging services and Apache Kafka. Installation is straightforward as a pure Python wheel with low friction, and it requires only Apache Airflow >=3.0.1 as a core dependency.
Use it for
- Build Airflow DAGs that publish events to Kafka topics or cloud message queues as part of data pipelines.
- Integrate event-driven workflows with Amazon SQS, SNS, or other AWS messaging services via optional extras.
- Create message-based task orchestration where Airflow tasks consume and respond to messages from brokers.
- Standardize messaging patterns across multiple Airflow deployments using common abstractions.
- Connect Airflow to Apache Kafka clusters for streaming data ingestion and event publishing.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are running Apache Airflow >=3.0.1 and need to integrate messaging or event-driven capabilities into your workflows.
The package is actively maintained, production-stable, permissively licensed, and has no known vulnerabilities. Install it only if your DAGs require messaging operators; it is not useful standalone without Airflow.
Install
apache-airflow-providers-common-messaging on PyPI
Before you install
Low install friction as a pure Python wheel. Actively maintained with recent releases; requires Apache Airflow >=3.0.1. The package is part of the official Apache Airflow ecosystem with stable production status.
Requires Apache Airflow >=3.0.1 and Python >=3.10; optional extras (amazon, apache.kafka) require additional provider packages.
License in practice
Licensed under Apache-2.0 (permissive). You can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
Quickstart
pip install apache-airflow-providers-common-messaging
from airflow.providers.common.messaging import ...
# Use common messaging operators in your DAG definitionsVerify before relying
- Specific operators and classes available in the common.messaging module beyond the provider abstraction layer.
- Whether this provider alone enables messaging without installing optional extras (amazon or apache.kafka).
- Real-world messaging patterns and examples beyond the provider documentation.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packageapache-airflow |
| Maintenance | Actively maintained 68 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 325,548 / month, #7,585 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_common_messaging-2.0.4-py3-none-any.whl
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See also apache-airflow-providers-apache-kafka · apache-airflow-providers-microsoft-azure · fedora-messaging · apache-airflow-providers-standard · apache-airflow-providers-google · apache-airflow-providers-common-sql · apache-airflow-providers-amazon · apache-airflow-providers-common-io · apache-airflow-providers-redis · apache-airflow-providers-cloudant