Luigi

A Python module that helps you build complex pipelines of batch jobs.

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Overview

Luigi is a Python package, originally developed at Spotify, that helps you build complex pipelines of batch jobs. It allows you to chain tasks together, automate dependency resolution, and visualize your workflow. Luigi is designed to be simple and lightweight, focusing on the core aspects of workflow management.

✨ Key Features

  • Python-based task definition
  • Dependency resolution
  • Command-line interface
  • Web interface for visualization
  • Atomic file operations

🎯 Key Differentiators

  • Simplicity and lightweight design
  • Focus on batch processing
  • Strong integration with the Hadoop ecosystem

Unique Value: Provides a simple and straightforward way to build and manage batch data pipelines in Python, with a focus on dependency resolution.

🎯 Use Cases (4)

Batch data processing ETL pipelines Machine learning workflows Scientific computations

✅ Best For

  • Building and managing long-running batch jobs
  • Orchestrating data pipelines in a Hadoop ecosystem

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Real-time or streaming data pipelines.
  • Users who need a feature-rich UI and managed cloud service.

🏆 Alternatives

Apache Airflow Prefect Dagster

Is simpler and easier to get started with than Airflow, but lacks its rich UI, scalability features, and large ecosystem of integrations.

💻 Platforms

CLI Web

✅ Offline Mode Available

🔌 Integrations

Hadoop Hive PostgreSQL MySQL AWS S3

🛟 Support Options

  • ✓ Live Chat
  • ✓ Dedicated Support (NA tier)

💰 Pricing

Contact for pricing
Free Tier Available

Free tier: Open source, self-hosted.

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