Luigi
What it is
Luigi is a free Python package for constructing and coordinating complex batch-job pipelines. It manages dependencies, workflow execution, visualization, failure handling, and command-line integration. The project describes using it to connect long-running tasks such as Hadoop jobs, database transfers, and machine-learning jobs, including pipelines with thousands of tasks that may run for days or weeks. Documented systems and task types include Hadoop, Hive, Pig, Spark, HDFS, databases, and local files. A Luigi server offers a web interface for searching and filtering tasks. Its HDFS and local filesystem abstractions provide atomic file operations. The project instructs users to install the latest stable version with `pip install luigi`; TOML configuration is available with the optional `luigi[toml]` installation. The repository says Python 3.10 through 3.14 are tested and lists the Apache-2.0 license. Spotify's Data Team maintains the package, and a mailing list is available for discussion and questions. Luigi is self-hosted, so it is a package for teams to run as part of their own workflow setup rather than a hosted service.
For and against
For
- Manages dependencies, failures, and workflow visualization.
- Documented integrations span Hadoop, Spark, and databases.
- Web interface searches and filters tasks.
- Atomic operations are provided for HDFS and local files.
- Apache-2.0 licensed and free.
Against
- It is self-hosted rather than a hosted service.
- Event triggers are not supported.
- Use requires a Python package installation.
The verdict
Luigi provides workflow plumbing for coordinating long-running batch jobs, with task management and a searchable web interface. Its self-hosted Python package format fits teams able to operate their own environment.
Who it suits
It suits Python users who need to chain long-running batch tasks across systems such as Hadoop, databases, or local files. Teams should be prepared to self-host and manage their workflow environment.
Plans and prices
Luigi
Apache-2.0 licensed Python package
Read 3 Oct 2026 · github.com
On the record
- Atomic file operations
- Luigi provides HDFS and local file system abstractions that ensure file operations are atomic.luigi.readthedocs.io · read 3 Oct 2026
- Configuration
- Luigi supports TOML based configuration through the optional `luigi[toml]` installation.github.com · read 3 Oct 2026
- Installation
- The project instructs users to install the latest stable version with `pip install luigi`.github.com · read 3 Oct 2026
- Integrations
- Documented task types and systems include Hadoop, Hive, Pig, Spark, HDFS, databases, and local files.luigi.readthedocs.io · read 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 · read 3 Oct 2026
- License
- The repository identifies Luigi as licensed under Apache-2.0.github.com · read 3 Oct 2026
- Maintainer
- The project says Spotify's Data Team maintains Luigi.github.com · read 3 Oct 2026
- Purpose
- Luigi is a Python package for building complex pipelines of batch jobs.github.com · read 3 Oct 2026
- Python versions
- The repository says Python 3.10 through 3.14 are tested.github.com · read 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 · read 3 Oct 2026
- Support and discussion
- The project links to a mailing list for discussions and questions.luigi.readthedocs.io · read 3 Oct 2026
- Web interface
- The Luigi server includes a web interface for searching and filtering tasks.luigi.readthedocs.io · read 3 Oct 2026
- Workflow management
- It handles dependency resolution, workflow management, visualization, failure handling, and command line integration.github.com · read 3 Oct 2026
- Workflow scale
- The documentation describes pipelines containing thousands of tasks that can take days or weeks to complete.luigi.readthedocs.io · read 3 Oct 2026
