---
id: dagster-cloud-cli
version: "1.13.17"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# dagster-cloud-cli

License: permissive · Maintenance: active · Downloads: 5.0M/mo

## What it is and what it does

dagster-cloud-cli is a command-line interface for interacting with Dagster Cloud, the cloud-hosted version of Dagster's data orchestration platform. It extends Dagster's declarative asset-based programming model—where you define data pipelines as Python functions—into cloud deployment and management workflows. The package sits at the intersection of local development tooling and cloud infrastructure, allowing developers to deploy, monitor, and manage Dagster data assets from the terminal.

The package depends on established CLI libraries (click, typer, questionary) and data-handling tools (requests, pyyaml, jinja2) to provide interactive command-line workflows and configuration management. It is actively maintained as part of the larger Dagster ecosystem, which is designed for the full data development lifecycle from local testing through production orchestration.

Use it for:

- Deploy and manage Dagster data pipelines to Dagster Cloud from CI/CD workflows or local development environments.
- Automate provisioning and configuration of cloud-hosted Dagster instances using declarative YAML or Python-based templates.
- Manage authentication, secrets, and environment variables for cloud-deployed data assets via command-line tooling.
- Integrate Dagster Cloud operations into existing DevOps or data engineering automation scripts.
- Troubleshoot and inspect deployed pipelines and asset lineage directly from the terminal without opening the web UI.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

CLI tool for managing and deploying Dagster data pipelines to Dagster Cloud, providing command-line access to cloud orchestration and asset management features.

Yes, if you are using Dagster Cloud for data orchestration and need programmatic or scripted control over deployments and asset management. The package is actively maintained, has no known vulnerabilities, and integrates seamlessly with the broader Dagster ecosystem. Install only if you have a Dagster Cloud instance to manage; it is not useful as a standalone tool for local-only Dagster development.

## Install

pip install dagster-cloud-cli
uv add dagster-cloud-cli
poetry add dagster-cloud-cli

## Installing dagster-cloud-cli

Before you install: Low install friction with a pure Python wheel distribution. Active maintenance with a release 7 days ago and continuous repository activity. Depends on 12 runtime packages including click, typer, and requests—all widely-used, stable libraries with minimal friction.

License in practice: Apache-2.0 permissive license allows commercial and private use with minimal restrictions, making it suitable for both open-source and proprietary projects.

Quickstart:

pip install dagster-cloud-cli

from dagster_cloud_cli import main
# Or use as a command-line tool:
# dagster-cloud-cli [command] [options]

Requires Python 3.10 or later (supports 3.10 through 3.14); intended as a CLI tool, typically invoked from the command line rather than imported directly in Python code.

Verify before relying:

- Specific CLI commands and their parameters are not detailed in the fact sheet.
- Integration requirements with a running Dagster Cloud instance or authentication setup are not documented here.
- Whether this package is meant to be used standalone or as part of a larger Dagster ecosystem installation.

## Package facts

- License: Apache-2.0 (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 5.0M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

dagster cloud cli, data pipeline orchestration cli, cloud data asset management, dagster deployment tool, data pipeline cli, orchestration command line, cloud pipeline management, data-orchestration, cli-tool, cloud-deployment

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