The Luigi homepage
Score6.9
Rank#6 of 22
PriceFree
Free planYes
Runs onAPI, Linux, Self-hosted, Web

Summary

Luigi is a free Python package for building and coordinating complex pipelines of batch jobs. It manages workflow dependencies, execution, visualization, failure handling, and command-line integration. Its documentation presents it as a way to connect long-running work such as Hadoop jobs, database transfers, and machine-learning jobs, including pipelines with thousands of tasks that can run for days or weeks. Documented systems include Hadoop, Hive, Pig, Spark, HDFS, databases, and local files. The Luigi server provides a web interface to search and filter tasks. Its HDFS and local filesystem abstractions support atomic file operations. The project instructs users to install the latest stable version with `pip install luigi`; TOML configuration is available through the optional `luigi[toml]` installation. The repository says Python 3.10 through 3.14 are tested and identifies Apache-2.0 as the license. Spotify's Data Team maintains Luigi, and the project links to a mailing list for discussion and questions. Luigi is self-hosted.

Who it is for

Luigi suits Python users who need to chain and automate long-running batch tasks across documented systems such as Hadoop, databases, and local files. It is self-hosted rather than a hosted service.

What is good

  • Free Apache-2.0 licensed Python package.
  • Manages dependencies, failures, and workflow visualization.
  • Supports Hadoop, Hive, Pig, Spark, HDFS, and databases.
  • Web interface supports task searching and filtering.

What to know first

  • Requires self-hosting.
  • Event triggers are not supported.
  • Python package installation is required.

Verdict

Luigi provides workflow plumbing for coordinating batch jobs, with documented integrations across data systems and a task-search web interface. It is a fit for teams comfortable running a self-hosted Python package.

Luigi plans and pricing

All plans
Luigi Free Apache-2.0 licensed Python package github.com · 3 Oct 2026

Compared on workload automation software

Free plan
Yesgithub.com
Deployment
self-hostedgithub.com
Workflow dependencies
Yesgithub.com
Event triggers
Nogithub.com
Cross-platform execution
Yesgithub.com
Audit logs
Yesgithub.com

Facts

Purpose
Luigi is a Python package for building complex pipelines of batch jobs.github.com · 3 Oct 2026
Workflow management
It handles dependency resolution, workflow management, visualization, failure handling, and command line integration.github.com · 3 Oct 2026
Installation
The project instructs users to install the latest stable version with `pip install luigi`.github.com · 3 Oct 2026
Integrations
Documented task types and systems include Hadoop, Hive, Pig, Spark, HDFS, databases, and local files.luigi.readthedocs.io · 3 Oct 2026
Web interface
The Luigi server includes a web interface for searching and filtering tasks.luigi.readthedocs.io · 3 Oct 2026
Atomic file operations
Luigi provides HDFS and local file system abstractions that ensure file operations are atomic.luigi.readthedocs.io · 3 Oct 2026
Workflow scale
The documentation describes pipelines containing thousands of tasks that can take days or weeks to complete.luigi.readthedocs.io · 3 Oct 2026
Configuration
Luigi supports TOML based configuration through the optional `luigi[toml]` installation.github.com · 3 Oct 2026
Python versions
The repository says Python 3.10 through 3.14 are tested.github.com · 3 Oct 2026
License
The repository identifies Luigi as licensed under Apache-2.0.github.com · 3 Oct 2026
Security reporting
The security policy asks people to report sensitive security issues through Spotify's bug bounty program rather than GitHub.github.com · 3 Oct 2026
Maintainer
The project says Spotify's Data Team maintains Luigi.github.com · 3 Oct 2026
Intended use
The documentation presents Luigi as workflow plumbing for chaining and automating long running batch tasks, including Hadoop jobs, database transfers, and machine learning jobs.luigi.readthedocs.io · 3 Oct 2026
Support and discussion
The project links to a mailing list for discussions and questions.luigi.readthedocs.io · 3 Oct 2026

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