dagster-cloud
Decision gist · record as of 2026-08-14
Yes, if you are already using Dagster and want to move to a managed cloud platform. The package is actively maintained, has no known vulnerabilities, and carries a permissive license. Install friction is low. However, verify first whether your use case requires a Dagster Cloud account and whether the feature set (branching, CI/CD) you need is included in your tier.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).
- Dagster Cloud Agent typically requires cloud credentials and network access to Dagster Cloud infrastructure.
- Low install friction with a wheel-only distribution.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 is permissive: you can use, modify, and distribute this package freely in commercial and open-source projects, provided you include a copy of the license and state significant changes.
last release 2026-08-14 (0 days) · last repo commit 2026-05-22 · 38 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 4,690,591 downloads/mo, #2,253 on PyPI
Alternatives
Verify before relying
pip install dagster-cloud
from dagster_cloud import DagsterCloudAgent
# Configure and deploy via CLI or programmatically
# dagster-cloud agent start- Whether the package can be used standalone or requires a Dagster Cloud account and active subscription.
- What specific cloud providers or deployment models (serverless vs. hybrid) are supported by this version.
- Whether branching and CI/CD features mentioned in the description are included in the open-source distribution or require a paid tier.
What it is and what it does
Dagster Cloud is the managed, cloud-hosted version of the Dagster orchestration framework. It provides a Python package that acts as an agent and CLI for deploying, managing, and monitoring data pipelines on Dagster's infrastructure. The package wraps core Dagster functionality (via the dagster dependency) with cloud-specific tooling: a command-line interface built on typer and questionary, HTTP request handling via requests, and executable packaging via pex. It supports both serverless and hybrid deployment models, allowing teams to run data workflows without managing orchestration infrastructure directly.
Typical usage involves installing the package, authenticating with Dagster Cloud credentials, and using the CLI to deploy Dagster jobs and assets to the cloud platform. The package is designed for developers and system administrators who want to orchestrate data pipelines with minimal infrastructure overhead. It's part of the broader Dagster ecosystem but specifically targets users who prefer managed hosting over self-hosted Dagster deployments.
Use it for
- Deploy Dagster data pipelines to a managed cloud platform without provisioning orchestration infrastructure.
- Use the dagster-cloud CLI to manage agents, monitor job runs, and configure cloud deployments from the command line.
- Run data workflows in a serverless environment with automatic scaling and built-in CI/CD integration.
- Manage multiple Dagster environments (dev, staging, prod) using Dagster Cloud's branching and multi-environment features.
- Integrate data orchestration into a team's existing cloud infrastructure using hybrid deployment mode.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are already using Dagster and want to move to a managed cloud platform.
The package is actively maintained, has no known vulnerabilities, and carries a permissive license. Install friction is low. However, verify first whether your use case requires a Dagster Cloud account and whether the feature set (branching, CI/CD) you need is included in your tier.
Install
dagster-cloud on PyPI
Before you install
Low install friction with a wheel-only distribution. Actively maintained with a release on 2026-08-14 and last commit on 2026-08-22. Depends on seven runtime packages including dagster, typer, and requests—all common, stable dependencies.
Requires Python 3.10 or later (supports up to 3.14). Dagster Cloud Agent typically requires cloud credentials and network access to Dagster Cloud infrastructure.
License in practice
Apache-2.0 is permissive: you can use, modify, and distribute this package freely in commercial and open-source projects, provided you include a copy of the license and state significant changes.
Quickstart
pip install dagster-cloud
from dagster_cloud import DagsterCloudAgent
# Configure and deploy via CLI or programmatically
# dagster-cloud agent startVerify before relying
- Whether the package can be used standalone or requires a Dagster Cloud account and active subscription.
- What specific cloud providers or deployment models (serverless vs. hybrid) are supported by this version.
- Whether branching and CI/CD features mentioned in the description are included in the open-source distribution or require a paid tier.
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 | 7 packagesdagster-cloud-clidagster-shareddagsterpexquestionaryrequeststyper |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 4,690,591 / month, #2,253 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleEnvironment :: Web EnvironmentIntended Audience :: DevelopersIntended Audience :: System AdministratorsLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Software Development :: Libraries :: Application FrameworksTopic :: System :: Monitoring |
Evidence: dagster_cloud-1.13.18-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “data orchestration platform”
- dagster-cloudDagster Cloud is a managed orchestration platform that deploys and…
- towerTower is a CLI and Python runtime for deploying Python data apps,…
- dagsterDagster is a data pipeline orchestrator that lets you declare data…
Give your agent the search over MCP, or paste the wish link into any chat.
More Application Frameworks packages
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Textual is a Python framework for building cross-platform user interfaces that run in the terminal or web browser using a modern, component-based API.
Install it if you're developing CLI tools, dashboards, or interactive terminal applications.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Build and connect to Model Context Protocol servers that expose tools, resources, and prompts to LLM applications over stdio, HTTP, or SSE transports.
Install it if you need to build or connect to servers.
Werkzeug is a WSGI utility library providing request/response objects, URL routing, an interactive debugger, HTTP utilities, and a development server for building web applications.
See also dagster-cloud-cli · dagster-docker · anyscale · dagster-webserver · dagster-aws · dagster · dagster-graphql · dagster-dg-cli · tower · dapr-ext-workflow