Luigi is a free Python package for connecting and managing complex batch-job pipelines. It handles dependency resolution, workflow management, visualization, failure handling, and command-line integration. The project presents it for long-running work such as Hadoop jobs, database transfers, and machine-learning jobs; its documentation describes 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. The Luigi server includes a web interface for searching and filtering tasks, and 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 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 Luigi, and the project links to a mailing list for discussion. It is self-hosted, with a free plan listed at 0.00 USD per free.
Who it is for
Luigi suits developers and data teams building Python workflows around long-running batch jobs, including database transfers and Hadoop or machine-learning tasks. It is a fit for teams prepared to self-host and use its documented systems.
What is good
- Manages dependencies, failures, and workflow visualization.
- Includes a web interface for task search and filtering.
- Supports Hadoop, Hive, Pig, Spark, HDFS, and databases.
- Filesystem abstractions support atomic operations.
- Apache-2.0 licensed.
What to know first
- Self-hosted deployment.
- No event triggers.
Verdict
Luigi provides workflow plumbing for batch pipelines, with task management, a web interface, and integrations across documented systems. Its self-hosted model and Python package format make it most relevant to teams comfortable managing their own deployment.
Luigi plans and pricing
All plansCompared on workload automation software
- Free plan
- Yes
- Deployment
- self-hosted
- Workflow dependencies
- Yes
- Event triggers
- No
- Cross-platform execution
- Yes
- Audit logs
- Yes
