Luigi

Luigi

Luigi is an open source Python package that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization, handling failures, command line integration, and much more.
Luigi image
python pipelines batch-processing dependency-management

Luigi: Open Source Pipeline Management

Luigi is an open source Python package that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization, handling failures, command line integration, and much more.

What is Luigi?

Luigi is an open source Python package that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization, handling failures, command line integration, and much more.

Some key features of Luigi:

  • Built on top of Python, so it is easy to integrate into your existing Python workflows and codebases
  • Dependency resolution - Luigi helps manage the dependencies between tasks in your workflow so they run in the correct order
  • Scheduling - Luigi has built-in scheduling that determines what tasks need to run and handles batching up tasks for better performance
  • Failure handling - Luigi helps you deal robustly with failures, retries of tasks, and avoids re-running successful tasks
  • Visualization - Luigi provides visualization of workflow diagrams to help you monitor status
  • Command line integration and parallel execution - Luigi makes it easy to run workflows from the command line, run tasks in parallel, and scale up
  • HTTP server - Luigi has an integrated web server for managing and visualizing workflows

Some common use cases for Luigi include data pipelines, machine learning workflows, extract-transform-load (ETL) pipelines, and more. It's used at many companies to build complex batch processing workflows.

Luigi Features

Features

  1. Dependency management
  2. Centralized workflow management
  3. Failure handling
  4. Visualization
  5. Command line integration
  6. Support for local and remote workflows
  7. Integration with Hadoop

Pricing

  • Open Source

Pros

Open source and free

Simple and flexible architecture

Active community support

Scalable for complex pipelines

Built-in retry mechanisms

Visual workflow representation

Integration with many languages and frameworks

Cons

Steep learning curve

Limited documentation

No graphical user interface

Not ideal for real-time data processing

Requires coding pipelines in Python


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