{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks"},{"label":"Monitoring","url":"https://skillfed.io/packages/category/system-monitoring/2"}],"enrichment":{"capability":"Dagster Cloud is a managed orchestration platform that deploys and runs data pipelines with serverless or hybrid infrastructure, providing CLI tooling and agent management for Dagster workflows.","skillfed_tags":["orchestration","data-pipeline","managed-service"],"use_cases":["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."],"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.\n\nTypical 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.","worth_installing":"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."},"id":"dagster-cloud","links":{"html":"https://skillfed.io/packages/dagster-cloud","md":"https://skillfed.io/packages/dagster-cloud.md","pypi":"https://pypi.org/project/dagster-cloud/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":null,"license_treatment":"permissive","name":"dagster-cloud","python_support":"supports_current","summary":null},"popularity":{"monthly_downloads":4690591,"position":2253,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.13.18"}