Luigi
luigi.readthedocs.io
What it is
Luigi is a free Python package for defining and coordinating batch-job pipelines, dependencies, workflow execution, and failures. Workflows and dependency graphs are specified in Python, and tasks can also trigger work outside Python. Its documentation describes task support for Hadoop, Hive, Pig, and Spark, plus HDFS and local file abstractions. Those abstractions make file operations atomic, helping avoid pipelines being left with partial data. The Luigi server includes a web interface for searching and filtering tasks and viewing dependency graphs. It also supports command-line integration and use from Python code. The documentation describes pipelines with thousands of tasks that may run for days or weeks, including Hadoop jobs, database transfers, and machine-learning algorithms. The package is self-hosted, with no registration wall. Install the latest stable version with `pip install luigi`; adding `[toml]` enables TOML-based configuration. Documentation lists Python 3.10, 3.11, 3.12, and 3.13 as tested versions. A mailing list is available for discussion and questions.
Spec sheet
- Purpose
- Luigi is a Python package for building complex pipelines of batch jobs and managing their dependencies, workflows, visualization, and failures.Read 7 Oct 2026 · luigi.readthedocs.io
- Integrations
- The documentation describes task support for Hadoop, Hive, Pig, and Spark, plus HDFS and local file abstractions.Read 7 Oct 2026 · luigi.readthedocs.io
- Founded
- 2012Read 28 Sep 2026 · luigi.readthedocs.io
- Atomic file operations
- Its HDFS and local file abstractions ensure file operations are atomic to avoid pipelines being left with partial data.Read 7 Oct 2026 · luigi.readthedocs.io
- Command line
- Luigi supports command-line integration and can be run from the command line or Python code.Read 7 Oct 2026 · luigi.readthedocs.io
- Configuration
- Installing with `pip install luigi[toml]` adds support for TOML-based configuration.Read 7 Oct 2026 · luigi.readthedocs.io
- Installation
- The latest stable version can be installed with `pip install luigi`.Read 7 Oct 2026 · luigi.readthedocs.io
- Maintainer
- The documentation says Spotify’s Data Team maintains Luigi.Read 7 Oct 2026 · luigi.readthedocs.io
- Python versions
- The documentation lists Python 3.10, 3.11, 3.12, and 3.13 as tested versions.Read 7 Oct 2026 · luigi.readthedocs.io
- Scale
- The documentation says Luigi can manage pipelines comprising thousands of tasks that take days or weeks to complete.Read 7 Oct 2026 · luigi.readthedocs.io
- Security and compliance
- The opened documentation and project pages did not state security certifications or compliance claims.Read 7 Oct 2026 · luigi.readthedocs.io
- Support channel
- The documentation links to a mailing list for discussions and questions.Read 7 Oct 2026 · luigi.readthedocs.io
- Use case
- The documentation describes use with long-running batch work such as Hadoop jobs, database transfers, and machine-learning algorithms.Read 7 Oct 2026 · luigi.readthedocs.io
- Web interface
- The Luigi server includes a web interface for searching and filtering tasks and viewing workflow dependency graphs.Read 7 Oct 2026 · luigi.readthedocs.io
- Workflow definition
- Luigi workflows and dependency graphs are specified in Python, and tasks can also trigger work outside Python.Read 7 Oct 2026 · luigi.readthedocs.io
Plans and prices
Strong points and limits
Strong points
- Free Python package with no registration wall.
- Supports Hadoop, Hive, Pig, and Spark.
- File abstractions provide atomic operations.
- Web interface displays dependency graphs.
Limits
- Workflows and dependency graphs are specified in Python.
- No visual workflow builder.
- No event triggers.
Who it suits
Luigi suits Python users coordinating long-running batch workflows with defined dependencies. It is self-hosted and offers a web interface for inspecting tasks and dependency graphs.
Verdict
Luigi provides task coordination and workflow visibility for batch pipelines, including long-running work. It is a fit for teams comfortable defining workflows in Python and running the package themselves.
Where Specifiction places it
- Workflow Orchestration Software#23 of 387.8
- DataOps Platforms#11 of 167.8