Luigi
A Python module that helps you build complex pipelines of batch jobs.
Overview
Luigi is a Python (2.7, 3.6, 3.7, 3.8 tested) 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. It was developed by Spotify and is used internally to run thousands of jobs every day.
✨ Key Features
- Dependency resolution for tasks
- Workflow management
- Visualization of pipelines
- Failure handling and retries
- Command-line integration
🎯 Key Differentiators
- Simple and lightweight
- Focus on dependency resolution
- Mature and battle-tested
Unique Value: Provides a simple and effective way to build and manage complex pipelines of batch jobs.
🎯 Use Cases (4)
✅ Best For
- Data processing at Spotify
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Streaming data pipelines
- Workflows requiring a GUI-based builder
🏆 Alternatives
Offers a more lightweight and less complex solution compared to some of the more feature-rich workflow orchestrators.
💻 Platforms
🔌 Integrations
💰 Pricing
Free tier: Open-source and free to use.
🔄 Similar Tools in AI Pipeline Orchestration
Kubeflow
An open-source platform for deploying, managing, and scaling machine learning workflows on Kubernete...
Apache Airflow
An open-source platform for developing, scheduling, and monitoring batch-oriented workflows....
Domino Data Lab
An enterprise MLOps platform that accelerates research, speeds model deployment, and increases colla...
DataRobot
An end-to-end enterprise AI platform that automates the entire machine learning lifecycle....
Google Cloud Vertex AI
A managed machine learning platform that lets you accelerate the deployment and scaling of ML models...
Amazon SageMaker
A fully managed service that provides every developer and data scientist with the ability to build, ...