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dagster

Active·★ 15.6k·Apache-2.0·Updated 2026-05-29
★ Most Popular★ Trending★ Essential

An orchestration platform for the development, production, and observation of data assets.

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.

#Data Orchestration#MLOps#Data Pipelines#ETL#Python#Coding#Data Analysis
$ Install
$ pip install dagster dagster-webserver
↗ Visit site★ GitHub
01

Features

01Software-defined Assets
02Declarative Programming Model
03Powerful Local Development
04Robust Operational UI (Dagit)
05Extensive Integrations
02

Compatibility

Snowflake
Supported
Verified via docs
Spark
Supported
Verified via docs
Kubernetes
Supported
Verified via docs
dbt
Supported
Verified via docs
Airbyte
Supported
Verified via docs
Scikit-learn
Supported
Verified via docs
03

Quick start

1
$ pip install dagster dagster-webserver
04

Use cases

↳Building reliable data platforms
↳Developing MLOps workflows
↳Automating data analytics and reporting
05

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Related searches

dagster AlternativesBest Workflow Automation Tools 2026Open Source Workflow Automationdagster Tutorialdagster Vs CompetitorsData OrchestrationMLOpsData Pipelines

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On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 15.6k
Last commit1d ago
StatusActive
LicenseApache-2.0
CategoryWorkflow Automation
Trend (30d)
+0.6k↑ 4.8%
Links
Documentation↗Discussion↗Issues↗Releases↗

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