Luigi
Luigi is a free Python package for building batch-job pipelines and managing task dependencies, workflow execution, and failures.
What Luigi is
Luigi is a free Python package for building batch-job pipelines and managing task dependencies, workflow execution, and failures. Workflows and dependency graphs are defined in Python, though tasks can also trigger work outside Python. The package supports command-line use and use from Python code. Its file abstractions cover HDFS and local storage, with atomic operations intended to prevent pipelines from being left with partial data.
The documentation describes task support for Hadoop, Hive, Pig, and Spark. Luigi’s server provides a web interface for searching and filtering tasks and viewing dependency graphs. It can manage pipelines with thousands of tasks that take days or weeks, including Hadoop jobs, database transfers, and machine-learning algorithms. The latest stable version installs with `pip install luigi`; adding `[toml]` provides TOML configuration support. Documentation lists Python 3.10, 3.11, 3.12, and 3.13 as tested versions. Luigi is self-hosted, and Spotify’s Data Team maintains it. A mailing list is available for discussions and questions.
Good
- Free Python package with no registration walls
- Web interface displays task dependencies
- Atomic file operations cover HDFS and local storage
- Supports Hadoop, Hive, Pig, and Spark
Watch out
- Self-hosted deployment model
- No visual workflow builder
- No event triggers
Who it suits
Luigi suits developers building long-running batch pipelines in Python, including work involving Hadoop jobs, database transfers, or machine-learning algorithms. It is a fit for teams prepared to use a self-hosted package rather than a visual workflow builder.
Verdict
Luigi provides Python-defined pipeline dependencies, task visibility, and failure management for batch work. Its self-hosted approach and lack of a visual workflow builder are worth weighing before choosing it.
Plans and prices
From Luigi's own pricing page, checked 7 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Luigi | Free | Open-source Python package · no registration walls |
The facts
Each one read from Luigi's own pages, with the date it was checked.
What it does
- Atomic file operations
- Its HDFS and local file abstractions ensure file operations are atomic to avoid pipelines being left with partial data.checked 7 Oct 2026
- Command line
- Luigi supports command-line integration and can be run from the command line or Python code.checked 7 Oct 2026
- Configuration
- Installing with `pip install luigi[toml]` adds support for TOML-based configuration.checked 7 Oct 2026
- Installation
- The latest stable version can be installed with `pip install luigi`.checked 7 Oct 2026
- Integrations
- The documentation describes task support for Hadoop, Hive, Pig, and Spark, plus HDFS and local file abstractions.checked 7 Oct 2026
- Maintainer
- The documentation says Spotify’s Data Team maintains Luigi.checked 7 Oct 2026
- Purpose
- Luigi is a Python package for building complex pipelines of batch jobs and managing their dependencies, workflows, visualization, and failures.checked 7 Oct 2026
- Python versions
- The documentation lists Python 3.10, 3.11, 3.12, and 3.13 as tested versions.checked 7 Oct 2026
- Scale
- The documentation says Luigi can manage pipelines comprising thousands of tasks that take days or weeks to complete.checked 7 Oct 2026
- Security and compliance
- The opened documentation and project pages did not state security certifications or compliance claims.checked 7 Oct 2026
- Support channel
- The documentation links to a mailing list for discussions and questions.checked 7 Oct 2026
- Use case
- The documentation describes use with long-running batch work such as Hadoop jobs, database transfers, and machine-learning algorithms.checked 7 Oct 2026
- Web interface
- The Luigi server includes a web interface for searching and filtering tasks and viewing workflow dependency graphs.checked 7 Oct 2026
- Workflow definition
- Luigi workflows and dependency graphs are specified in Python, and tasks can also trigger work outside Python.checked 7 Oct 2026
The company
- Founded
- 2012checked 28 Sep 2026
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