dagster-ssh
Package for ssh Dagster framework components.
Decision gist · record as of 2026-08-14
Yes, if you need SSH-based remote execution or data transfer in Dagster pipelines. The package is actively maintained, has no known vulnerabilities, and integrates cleanly with Dagster's asset model. Install it when your data workflow requires interaction with remote systems over SSH; skip it if all your assets run locally or via other Dagster integrations.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; SSH server credentials and network access must be configured before use.
- Low installation friction with three straightforward runtime dependencies.
- Actively maintained as part of the Dagster ecosystem with a recent release and no known vulnerabilities.
License · maintenance · safety
Apache-2.0 (permissive) — Apache 2.0 permissive license allows free use, modification, and distribution with minimal restrictions, suitable for both open-source and commercial projects.
last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 15,997 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 89,028 downloads/mo, #13,683 on PyPI
Alternatives
Verify before relying
pip install dagster-ssh
from dagster_ssh import SSHResource
import dagster as dg
@dg.asset
def my_asset(ssh: SSHResource) -> str:
# Use ssh resource to execute commands or transfer data
return "data"- Whether the package supports SSH key-based authentication, password authentication, or both
- Specific SSH operations supported (command execution, file transfer, tunneling details)
- Whether it integrates with Dagster's asset materialization or also supports ops/jobs
- Performance characteristics for large data transfers or long-running remote commands
What it is and what it does
dagster-ssh is a Dagster integration library that adds SSH capabilities to data pipelines. It wraps paramiko and sshtunnel to provide Dagster-native resources for executing tasks and transferring data over SSH connections to remote servers. This allows you to orchestrate data workflows that interact with remote systems without leaving the Dagster framework.
The package is part of the official Dagster ecosystem and is actively maintained alongside the core Dagster project. It integrates with Dagster's asset and op model, letting you declare remote operations as part of your data pipeline graph. With low installation friction and no known vulnerabilities, it's suitable for production use in environments where remote SSH access is a requirement.
Use it for
- Execute data processing scripts on remote servers and collect results back into Dagster assets
- Transfer data files to or from remote systems as part of a larger orchestrated pipeline
- Establish SSH tunnels to access databases or services behind firewalls within Dagster workflows
- Coordinate multi-machine data pipelines where some assets live on remote infrastructure
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need SSH-based remote execution or data transfer in Dagster pipelines.
The package is actively maintained, has no known vulnerabilities, and integrates cleanly with Dagster's asset model. Install it when your data workflow requires interaction with remote systems over SSH; skip it if all your assets run locally or via other Dagster integrations.
Install
dagster-ssh on PyPI
Before you install
Low installation friction with three straightforward runtime dependencies. Actively maintained as part of the Dagster ecosystem with a recent release and no known vulnerabilities.
Requires Python 3.10 or later; SSH server credentials and network access must be configured before use.
License in practice
Apache 2.0 permissive license allows free use, modification, and distribution with minimal restrictions, suitable for both open-source and commercial projects.
Quickstart
pip install dagster-ssh
from dagster_ssh import SSHResource
import dagster as dg
@dg.asset
def my_asset(ssh: SSHResource) -> str:
# Use ssh resource to execute commands or transfer data
return "data"Verify before relying
- Whether the package supports SSH key-based authentication, password authentication, or both
- Specific SSH operations supported (command execution, file transfer, tunneling details)
- Whether it integrates with Dagster's asset materialization or also supports ops/jobs
- Performance characteristics for large data transfers or long-running remote commands
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 packagesdagsterparamikosshtunnel |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 89,028 / month, #13,683 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: dagster_ssh-0.29.18-py3-none-any.whl
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See also dagster-cloud-cli · dagster · dagster-shell · dagster-rest-resources · dagster-webserver · dagster-aws · dagster-docker · dagster-slack · dagster-dg-core · dagster-dg-cli