dagster-dg-cli
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later (supports up to 3.14); intended as a CLI tool, not primarily a library for programmatic import.
- Active maintenance with a release on 2026-08-14.
- Low install friction from a pure wheel distribution.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; you may use this in proprietary projects.
last release 2026-08-14 (0 days) · last repo commit 2026-08-13 · 15,996 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 3,575,183 downloads/mo, #2,574 on PyPI
Alternatives
Verify before relying
pip install dagster-dg-cli
from dagster_dg_cli import ...
# Typically invoked via command line: dagster-dg <command>- 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
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 on it.
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
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.
Requires Python 3.10 or later (supports up to 3.14); intended as a CLI tool, not primarily a library for programmatic import.
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>
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 packagesdagster-cloud-clidagster-dg-coredagster-rest-resourcesdagsterrequeststyper |
| 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
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See also dagster · dagster-dg-core · dagster-webserver · dagit · dagster-cloud-cli · dagster-aws · dagster-graphql · dagster-shell · pyrig · pegasus-cli