---
id: apache-airflow-client
version: "3.3.0"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# apache-airflow-client — Apache Airflow API (Stable)

License: permissive · Maintenance: active · Downloads: 653.1K/mo

## 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 above — verify before relying.

A Python client library for the Apache Airflow REST API that enables programmatic management of Airflow objects through standard HTTP operations.

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

pip install apache-airflow-client
uv add apache-airflow-client
poetry add apache-airflow-client

## Installing apache-airflow-client

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.

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()

Requires Python 3.10 or later (3.15 excluded); requires a running Airflow instance with REST API enabled and appropriate authentication credentials.

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_current
- Install friction: low
- Maintenance: active
- Downloads: 653.1K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

airflow rest api client, airflow python client, airflow api management, airflow dag control, airflow http client, airflow automation sdk, airflow api wrapper, rest-api-client, workflow-orchestration, apache-airflow

[View on SkillFed](https://skillfed.io/packages/apache-airflow-client) · [View on PyPI](https://pypi.org/project/apache-airflow-client/)