Sheenflow
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  • Welcome to Sheenflow!
  • Overview
    • Quickstart
    • Installation
    • Create a New Project
  • Tutorials
    • Setup
    • Assets
    • Ops & Jobs
  • Deployment
    • Sheenflow Architecture
    • Main Concepts
      • Sheenflow Instance
      • Sheenflow Daemon
      • Run Launchers
      • Executors
      • Run Coordinator
      • Run Mointoring
      • Run Retries
  • Concepts
    • Assets
      • Software-Defined Assets
      • Asset Materializations
      • Asset Observations
      • Graph-Backed Assets
    • Ops
      • Ops
      • Op Events
      • Op Hooks
      • Op Retries
    • Graphs
    • Jobs
      • Jobs
      • Job Execution
      • Metadata & Tags
    • Schedule & Sensors
      • Schedules
      • Sensors
      • Asset Sensors
      • Partitions
      • Backfills
    • Resources
    • Code Locations
      • Code Locations
      • Workspace Files
  • Integration
    • Airbyte
    • Dbt
    • Fivetran
    • Pandas
    • ElixirNote
    • All Integrations
  • Reference
    • General
    • Best Practices
    • APIs
    • Contributing
  • Appendix
    • FAQs
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  • What is Sheenflow?
  • Overview

Welcome to Sheenflow!

NextQuickstart

Last updated 2 years ago

What is Sheenflow?

Sheenflow is a next-generation open-source orchestration platform for the development, production, and observation of data assets.

Overview

Sheenflow is an orchestrator that's designed for developing and maintaining data assets, such as tables, data sets, machine learning models, and reports.

You declare the functions that you want to run and the data assets that those functions produce or update. Sheenflow then helps you run your functions at the right time and keep your assets up-to-date.

Sheenflow is built to be used at every stage of the data development lifecycle - local development, unit tests, integration tests, staging environments, all the way up to production. Other similar projects include , , and .

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Getting Started

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