AI - Luigi
Empowering enterprises to manage and orchestrate complex data pipelines through Luigi's flexible infrastructure, enabling seamless integration of various tasks and dependencies.
- Name
- Luigi -https://github.com/spotify/luigi
- Last Audited At
About Luigi
Luigi is a Python package developed by Spotify for building and managing complex pipelines of batch jobs. It is used extensively internally by Spotify to run thousands of tasks every day, including those responsible for recommendations, toplists, A/B test analysis, external reports, and internal dashboards. Luigi's open-source nature has led hundreds of enterprises to adopt it as well.
Luigi is not a replacement for other data processing software packages like Hive, Pig, or Cascading. Instead, it serves as an infrastructure that helps stitch tasks together by managing their dependencies. Each task in Luigi can be a Hive query, Hadoop job, Spark job, Python snippet, database dump, or anything else. Users can build up long-running pipelines consisting of thousands of tasks that may take days or weeks to complete.
Conceptually, Luigi is similar to GNU Make but offers more flexibility since it's not limited to Hadoop and is easy to extend with various kinds of tasks. The entire dependency graph is specified within Python, making it easy to create complex workflows involving date algebra and recursive references. However, the workflow can also trigger things not in Python, such as running Pig scripts or scp'ing files.
Luigi is written in Python (3.6, 3.7, 3.8, 3.9, 3.10, and 3.11) and offers documentation for the latest stable version on readthedocs. Users can install it using pip or Git, with various configuration options available. Luigi was initially created at Spotify by Erik Bernhardsson and Elias Freider but has since grown with contributions from many other people. Currently, Spotify's Data Team maintains Luigi.