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dagster vs dagu
dagster logo
dagster
★ 15.6k
vs
dagu logo
dagu
★ 3.4k

dagster vs dagu

dagster: Dagster is a data orchestrator purpose-built for data platforms in the MLOps era, helping users define, develop, and operate data assets. It offers a powerful programming model, local development experience, and a robust UI for observing and debugging pipelines in production.; dagu: Dagu is a local-first, self-hosted control plane designed for existing operations automation and AI agent workflows. It allows defining complex pipelines in simple declarative YAML, executing them anywhere with a single binary, and distributing tasks across workers. It comes with a built-in Web UI for debugging and monitoring, eliminating the need for external databases or message brokers.

01

TL;DR

dagster logoChoose dagster if…

Building reliable data platforms

dagu logoChoose dagu if…

ETL and data operations: Turn data extraction scripts, SQL queries, dbt commands, and data-processing runbooks into observable pipelines.

02

Side-by-Side Comparison

Field
dagster logodagster
dagu logodagu
Category
Workflow Automation
Workflow Automation
Stars
★ 15.6k
★ 3.4k
License
Apache-2.0
GPL-3.0
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Data Orchestration, MLOps, Data Pipelines
agentic-workflow, cron, data-pipeline
03

Features

dagster logodagster
01Software-defined Assets
02Declarative Programming Model
03Powerful Local Development
04Robust Operational UI (Dagit)
05Extensive Integrations
dagu logodagu
01Local-first and self-hosted with a single binary
02Language-agnostic workflow definition (YAML for shell, Docker, K8s, etc.)
03Built-in Web UI for observability and debugging
04Integrated AI agent support (via MCP server, harness)
05Built-in secret management and human-in-the-loop approvals
04

Use Cases

dagster logodagster
↳Building reliable data platforms
↳Developing MLOps workflows
↳Automating data analytics and reporting
dagu logodagu
↳ETL and data operations: Turn data extraction scripts, SQL queries, dbt commands, and data-processing runbooks into observable pipelines.
↳Cron and legacy script management: Transform complex, interdependent jobs into maintainable DAGs with a UI, automatic logging, retries, and notifications.
↳Container and Kubernetes workflows: Run Docker containers and Kubernetes Jobs as steps in workflows without building a custom control plane.
05

Best For

dagster logodagster
Most PopularTrendingEssential
dagu logodagu
Workflow AutomationDev Tooling
FAQ

FAQ

What is the difference between dagster and dagu?
Both dagster and dagu are in the Workflow Automation category. dagster has 15.6k stars, while dagu has 3.4k stars.
Which is better, dagster or dagu?
The best choice depends on your use case. Choose dagster if Building reliable data platforms, and dagu if ETL and data operations: Turn data extraction scripts, SQL queries, dbt commands, and data-processing runbooks into observable pipelines..
Is dagster free or open source?
Yes, dagster is open source on GitHub (Apache-2.0).
Is dagu free or open source?
Yes, dagu is open source on GitHub (GPL-3.0).
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