dagster-cloud-cli
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- 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.
- Low install friction with a pure Python wheel distribution.
- Active maintenance with a release 7 days ago and continuous repository activity.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions, making it suitable for both open-source and proprietary projects.
last release 2026-08-07 (7 days) · last repo commit 2026-08-13 · 15,996 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 4,981,008 downloads/mo, #2,187 on PyPI
Alternatives
Verify before relying
pip install dagster-cloud-cli
from dagster_cloud_cli import main
# Or use as a command-line tool:
# dagster-cloud-cli [command] [options]- 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.
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 on this page. Verify before relying on it.
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
dagster-cloud-cli on PyPI
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.
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.
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]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 the current Python release <3.15,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 12 packagesclickdagster-sharedgithub3-pyjinja2packagingpyyamlquestionaryrequestssetuptoolstomlitypervalidators |
| Maintenance | Actively maintained 7 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 4,981,008 / month, #2,187 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: dagster_cloud_cli-1.13.17-py3-none-any.whl
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See also dagster-cloud · dagster-pipes · dagster-ssh · dagster-webserver · dagster · dagster-duckdb · dagster-rest-resources · dagster-postgres · dagster-docker · dagster-dbt