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apache-airflow-providers-ssh

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

apache-airflow-providers-ssh v6.0.1 16.4M downloads/30d#1,153 on PyPI46,489
Permissive license Apache-2.0 Active released

What it is and what it does

This is an Apache Airflow provider package that adds SSH capabilities to Airflow workflows. It supplies operators and hooks for executing commands on remote servers over secure shell connections, integrating SSH transport into Airflow's task execution model. The package depends on apache-airflow (>=2.11.0), asyncssh (>=2.12.0), paramiko (>=4.0.0), and apache-airflow-providers-common-compat (>=1.12.0) to handle SSH protocol details and async operations.

Typically used in data pipelines and system administration workflows where Airflow needs to trigger scripts, deploy code, or manage infrastructure on remote machines. It abstracts SSH connection management through Airflow's connection registry, so tasks reference a named SSH connection rather than embedding credentials directly in DAG code.

Use it for:

  • Execute deployment or maintenance scripts on remote servers as part of an Airflow pipeline.
  • Trigger data collection or ETL jobs running on remote machines from a centralized Airflow scheduler.
  • Monitor or manage infrastructure by running diagnostic commands on multiple remote hosts via Airflow tasks.
  • Coordinate multi-server workflows where tasks on different machines need to run in sequence or parallel.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Provides SSH integration for Apache Airflow, enabling tasks to execute commands on remote servers over secure shell connections.

Yes. This is a production-stable provider (Development Status 5) with active maintenance, no known vulnerabilities, and low install friction. Install it if you run Apache Airflow and need to execute commands on remote servers via SSH. Verify your Airflow version meets >=2.11.0 and that you have Python 3.10+ before installing.

Install

apache-airflow-providers-ssh on PyPI

pip

pip install apache-airflow-providers-ssh

uv

uv add apache-airflow-providers-ssh

poetry

poetry add apache-airflow-providers-ssh

Installing apache-airflow-providers-ssh

Before you install

Low friction installation as a pure Python wheel. Actively maintained with a release 6 days old. Requires Apache Airflow >=2.11.0 and modern Python (3.10+); depends on asyncssh and paramiko for SSH transport.

License in practice

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

Quickstart

pip install apache-airflow-providers-ssh

from airflow.providers.ssh.operators.ssh import SSHOperator

task = SSHOperator(
    task_id='ssh_task',
    ssh_conn_id='my_ssh_connection',
    command='ls -la'
)

Requires an existing Apache Airflow >=2.11.0 installation and a configured SSH connection in Airflow's connection store.

Verify before relying

  • Whether asyncssh >=2.12.0 or paramiko >=4.0.0 is preferred for different SSH scenarios or if both are used simultaneously.
  • Support for key-based vs. password authentication and any special setup required for each.

Package facts

License Apache-2.0 (permissive)
Python support supports the current Python release (>=3.10)
Install friction low — pure-Python wheel
Runtime dependencies 4 — apache-airflow, apache-airflow-providers-common-compat, asyncssh, paramiko
Maintenance actively maintained — 6 days since the last release
Last repo commit
First released
Downloads 16,410,294/month — #1,153 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: apache_airflow_providers_ssh-6.0.1-py3-none-any.whl

Keywords: airflow-provider, ssh, airflow, integration

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

Tags

airflow ssh providerremote command execution airflowssh integration airflowairflow ssh operatorsecure shell airflow tasksairflow remote server connection
airflow-providerssh-integrationworkflow-orchestration

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