apache-airflow-providers-common-messaging
Provider package apache-airflow-providers-common-messaging for Apache Airflow
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
Provides common messaging abstractions and operators for Apache Airflow workflows to integrate with message brokers and cloud messaging services.
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
pip
pip install apache-airflow-providers-common-messaginguv
uv add apache-airflow-providers-common-messagingpoetry
poetry add apache-airflow-providers-common-messagingInstalling apache-airflow-providers-common-messaging
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.
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 definitions
Requires Apache Airflow >=3.0.1 and Python >=3.10; optional extras (amazon, apache.kafka) require additional provider packages.
Verify 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 — apache-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) |
Evidence: apache_airflow_providers_common_messaging-2.0.4-py3-none-any.whl
Keywords: airflow-provider, common.messaging, airflow, integration
Tags
More Monitoring packages
Wraps any iterable to display a real-time…
copyleft · top 100 on PyPI
opentelemetry-semantic-conventionsProvides generated Python code for…
permissive · top 100 on PyPI
opentelemetry-sdkProvides the reference implementation of the…
permissive · top 100 on PyPI
opentelemetry-apiProvides the abstract API and interfaces for…
permissive · top 100 on PyPI
opentelemetry-exporter-otlp-proto-httpExports OpenTelemetry observability data to an…
permissive · top 1,000 on PyPI
opentelemetry-instrumentationProvides automatic instrumentation commands and…
permissive · top 1,000 on PyPI
apache-airflow-providers-apache-kafkaIntegrates Apache Kafka with Apache Airflow,…
permissive · top 5,000 on PyPI
apache-airflow-providers-microsoft-azureIntegrates Apache Airflow with Microsoft Azure…
permissive · top 5,000 on PyPI
fedora-messagingProvides tools and APIs for publishing and…
copyleft · top 15,000 on PyPI
apache-airflow-providers-standardProvides standard operators, hooks, and sensors…
permissive · top 5,000 on PyPI
apache-airflow-providers-googleIntegrates Apache Airflow with Google Cloud…
permissive · top 1,000 on PyPI
apache-airflow-providers-common-sqlProvides common SQL operators, hooks, and…
permissive · top 1,000 on PyPI
apache-airflow-providers-amazonProvides Apache Airflow operators, hooks, and…
permissive · top 5,000 on PyPI
apache-airflow-providers-common-ioProvides common I/O utilities and operators for…
permissive · top 5,000 on PyPI
apache-airflow-providers-redisProvides Redis integration for Apache Airflow,…
permissive · top 5,000 on PyPI
apache-airflow-providers-cloudantProvides Apache Airflow operators and hooks to…
permissive · top 15,000 on PyPI