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Dagster

Asset-centric data orchestration: define data, not tasks.

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About

Dagster is the data-orchestration platform built around software-defined assets: declare the data products you want (tables, models, files) and Dagster figures out the dependency graph, scheduling, and freshness — with lineage, data quality checks, and a polished UI. 16.3k stars, Apache-2.0, 7.9M PyPI downloads/month. The asset model is a genuine improvement over task-DAGs for data teams, though it requires a mindset shift. Dagster Cloud is the commercial offering; the OSS core is fully capable self-hosted.

What it can do

  • **Software-defined assets**: declare data, not tasks
  • **Lineage**: automatic dependency graphs and data lineage
  • **Freshness & checks**: SLAs and data-quality monitoring
  • **Declarative scheduling**: cron, sensors, and event triggers
  • **dbt integration**: first-class dbt project support

Setup

```bash

pip install dagster dagster-webserver

dagster dev # local UI + code server

```

```python

import dagster as dg

@dg.asset

def raw_orders(): return [...]

@dg.asset(deps=[raw_orders])

def clean_orders(): ...

```

Docs: docs.dagster.io.

Prerequisites

Python 3.9+. Dagster OSS (dagster dev) or Dagster Cloud.

Use cases

data engineeringorchestrationlineageML pipelines

Works with

customGeneric API

Trust score — 9/10

/10 trustVerified

Scored 9/10 (verified tier, metrics-v1). Evidence: 16,267 GitHub stars (log-scaled vs catalog peers); blended with ~7,886,605 monthly package downloads; last push 0d ago; 51 releases/12mo; 2581 open issues. Manual review: asset-centric data orchestration, 16.3k stars, 7.9M PyPI/mo; asset model is a mindset shift; Cloud is the monetization path. License: Apache-2.0.

★ 16,267 GitHub stars

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
8.5/10
Maintenance · recency, releases, issue load
8.2/10
Openness · license + docs
10.0/10
Manual review · sanity read + red-flag check
9.0/10
  • · 16,267 GitHub stars (log-scaled vs catalog peers)
  • · blended with ~7,886,605 monthly package downloads
  • · last push 0d ago; 51 releases/12mo; 2581 open issues
  • · manual review: asset-centric data orchestration, 16.3k stars, 7.9M PyPI/mo; asset model is a mindset shift; Cloud is the monetization path

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.