apache-airflow-client
Apache Airflow API (Stable)
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has no known vulnerabilities, installs with low friction, and is licensed permissively under Apache-2.0. It is the official Python client for Airflow's REST API and is suitable for any workflow that needs to manage or monitor Airflow remotely. Install it if you need programmatic control of Airflow from Python.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later (3.15 excluded); requires a running Airflow instance with REST API enabled and appropriate authentication credentials.
- Low friction installation with a pure-Python wheel and minimal dependencies.
- Active maintenance with a recent release 31 days ago and ongoing repository activity.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions beyond attribution and liability disclaimers.
last release 2026-07-14 (31 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 653,150 downloads/mo, #5,537 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-client
from apache_airflow_client.client.api import dags_api
# Create a client and use it to interact with Airflow REST endpoints
api = dags_api.DAGsApi()- Whether the client auto-generates from OpenAPI specifications and how frequently it tracks Airflow API changes.
- Specific version compatibility between client releases and Airflow server versions.
- Whether all Airflow REST API endpoints are fully covered by the client library.
- How to properly instantiate and configure the API client with authentication.
What it is and what it does
Apache Airflow Client is a Python wrapper around the Apache Airflow REST API, providing typed access to Airflow's CRUD operations on resources like DAGs, connections, and task runs through standard HTTP methods (POST, GET, PATCH, DELETE). It handles JSON serialization, authentication headers, and response parsing, allowing developers to manage Airflow workflows programmatically without constructing raw HTTP requests.
The client depends on pydantic for data validation, python-dateutil for timestamp handling, and urllib3 for HTTP transport. It supports Python 3.10 through 3.14 and is maintained as part of the Apache Airflow project with active development. It is designed for integration into automation tools, monitoring systems, and CI/CD pipelines that need to control Airflow remotely.
Use it for
- Pause or unpause DAGs and manage their state from external applications or scripts.
- Programmatically create, read, and update Airflow connections and variables from deployment automation.
- Monitor DAG runs and task execution status in real-time from monitoring or alerting systems.
- Build CI/CD pipelines that trigger DAG runs or manage Airflow configuration without direct database access.
- Integrate Airflow orchestration into multi-tool workflows that need to coordinate with other systems.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has no known vulnerabilities, installs with low friction, and is licensed permissively under Apache-2.0. It is the official Python client for Airflow's REST API and is suitable for any workflow that needs to manage or monitor Airflow remotely. Install it if you need programmatic control of Airflow from Python.
Install
apache-airflow-client on PyPI
Before you install
Low friction installation with a pure-Python wheel and minimal dependencies. Active maintenance with a recent release 31 days ago and ongoing repository activity.
Requires Python 3.10 or later (3.15 excluded); requires a running Airflow instance with REST API enabled and appropriate authentication credentials.
License in practice
Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions beyond attribution and liability disclaimers.
Quickstart
pip install apache-airflow-client
from apache_airflow_client.client.api import dags_api
# Create a client and use it to interact with Airflow REST endpoints
api = dags_api.DAGsApi()Verify before relying
- Whether the client auto-generates from OpenAPI specifications and how frequently it tracks Airflow API changes.
- Specific version compatibility between client releases and Airflow server versions.
- Whether all Airflow REST API endpoints are fully covered by the client library.
- How to properly instantiate and configure the API client with authentication.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release !=3.15,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagespydanticpython-dateutilurllib3 |
| Maintenance | Actively maintained 31 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 653,150 / month, #5,537 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 AirflowIntended 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_client-3.3.0-py3-none-any.whl
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See also apache-airflow-task-sdk · apache-airflow-providers-openai · apache-airflow · apache-airflow-providers-git · apache-airflow-providers-asana · apache-airflow-providers-keycloak · apache-airflow-providers-discord · apache-airflow-providers-common-io · apache-airflow-providers-imap · launchdarkly-api