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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  1. Overview

Quickstart

PreviousWelcome to Sheenflow!NextInstallation

Last updated 2 years ago

Only pip installation is currently officially supported.

The installation of Sheenflow is painless if you are following the instructions below. Sheenflow uses constraint files to enable reproducible installation, so using pip constraint files is recommended.

Sheenflow & Sheenlet

pip install sheenflow sheenlet

This installs a few packages:

  • Sheenflow: the core programming model and abstraction stack; stateless, single-node, single-process and multi-process executions; and a CLI tool for driving those engines.

  • Sheenlet: the UI for developing and operating Sheenflow jobs, including a DAG browser, a type-aware config editor, and a live execution interface.

You can also check out our page to make sure you have installed the packages and set up the environment properly.

Create a New Project