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dagster-dg-cli

dagster-dg-cli v1.13.18 3.6M downloads/30d#2,574 on PyPI15,996
Permissive license Apache-2.0 Active released

What it is and what it does

Dagster-dg-cli is a command-line utility for initializing and managing Dagster data pipeline projects. It sits within the broader Dagster ecosystem—a cloud-native data orchestrator designed for declaring data assets as Python functions and automating their execution and maintenance. The CLI provides project scaffolding, code generation, and development workflows to help teams set up Dagster projects locally before deploying to production.

The package depends on dagster core, dagster-cloud-cli, dagster-rest-resources, requests, and typer. It is actively maintained and released frequently. The tool is intended to streamline the early-stage development of Dagster pipelines, reducing boilerplate and setup friction for teams building data assets.

Use it for:

  • Initialize a new Dagster project with standard structure and best practices.
  • Generate boilerplate code for assets, jobs, and resources in a Dagster workspace.
  • Set up local development environments for data engineers working on asset pipelines.
  • Scaffold integration templates for connecting to external data tools and services.

Worth the install?

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

A command-line tool for developing and managing Dagster data pipelines locally, providing scaffolding, code generation, and project initialization for Dagster-based data orchestration.

Yes, if you are building Dagster pipelines and want CLI-driven project initialization and code generation. The package is actively maintained, carries no known vulnerabilities, and integrates cleanly with the Dagster ecosystem. Install it as part of your Dagster development toolkit, especially if you prefer command-line workflows for project setup.

Install

dagster-dg-cli on PyPI

pip

pip install dagster-dg-cli

uv

uv add dagster-dg-cli

poetry

poetry add dagster-dg-cli

Installing dagster-dg-cli

Before you install

Active maintenance with a release on 2026-08-14. Low install friction from a pure wheel distribution. Depends on dagster core and several Dagster ecosystem packages, which are themselves well-established.

License in practice

Apache-2.0 permissive license allows commercial and private use with minimal restrictions; you may use this in proprietary projects.

Quickstart

pip install dagster-dg-cli

from dagster_dg_cli import ...
# Typically invoked via command line: dagster-dg <command>

Requires Python 3.10 or later (supports up to 3.14); intended as a CLI tool, not primarily a library for programmatic import.

Verify before relying

  • Specific CLI commands and workflows available in version 1.13.18
  • Whether this package is meant for end-user CLI use or as a library dependency
  • Integration scope with dagster-cloud-cli and dagster-rest-resources

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 6 — dagster-cloud-cli, dagster-dg-core, dagster-rest-resources, dagster, requests, typer
Maintenance actively maintained — 0 days since the last release
Last repo commit
First released
Downloads 3,575,183/month — #2,574 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: dagster_dg_cli-1.13.18-py3-none-any.whl

Tags

dagster cli development tooldata pipeline project generatordagster project scaffoldingorchestration workflow setupasset-based pipeline development
data-orchestrationcli-toolproject-scaffolding

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