apache-airflow-providers-ssh
Provider package apache-airflow-providers-ssh for Apache Airflow
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an existing Apache Airflow >=2.11.0 installation and a configured SSH connection in Airflow's connection store.
- Low friction installation as a pure Python wheel.
- Actively maintained with a release 6 days old.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions.
last release 2026-08-08 (6 days) · last repo commit 2026-08-14 · 46,489 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 16,410,294 downloads/mo, #1,153 on PyPI
Alternatives
Verify before relying
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'
)- 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.
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 on it.
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
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.
Requires an existing Apache Airflow >=2.11.0 installation and a configured SSH connection in Airflow's connection store.
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'
)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 packagesapache-airflowapache-airflow-providers-common-compatasyncsshparamiko |
| 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 |
| 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_ssh-6.0.1-py3-none-any.whl
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See also apache-airflow-providers-microsoft-winrm · apache-airflow-providers-sftp · apache-airflow-providers-keycloak · apache-airflow-providers-imap · apache-airflow-providers-smtp · apache-airflow-providers-ftp · apache-airflow-providers-asana · apache-airflow-providers-openfaas · apache-airflow-providers-git · apache-airflow-providers-opensearch