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Luigi

github.com

Free plan WebLinuxAPISelf-hosted
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Spec score 7.6 #8 of 16 in Data Orchestration Software

What it is

Luigi is a free Python package for building and coordinating pipelines of batch jobs. It manages dependencies, workflow execution, visualization, failure handling and command-line integration. The documentation presents it as workflow plumbing for long-running work such as Hadoop jobs, database transfers and machine-learning jobs, including pipelines with thousands of tasks that can take days or weeks. Documented systems include Hadoop, Hive, Pig, Spark, HDFS, databases and local files. A Luigi server provides a web interface for searching and filtering tasks, while 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. Luigi is self-hosted, and Spotify's Data Team maintains the project. A mailing list is linked for discussion and questions. Its security policy directs people to report sensitive issues through Spotify's bug bounty program rather than GitHub.

Spec sheet

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

Plans and prices

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

Every Luigi plan and price →

Strong points and limits

Strong points

  • Manages dependencies and workflow failures.
  • Includes a task-search web interface.
  • Supports Hadoop, Hive, Pig and Spark.
  • Filesystem abstractions provide atomic operations.
  • Licensed under Apache-2.0.

Limits

  • Self-hosted deployment is required.
  • Event triggers are not supported.
  • TOML configuration requires an optional installation extra.

Who it suits

Luigi suits Python users who need to chain and automate long-running batch tasks across systems such as Hadoop, databases or local files. It is a self-hosted option for teams prepared to operate their own workflow service.

Verdict

Luigi provides workflow coordination for batch pipelines, with task visualization and integrations across several documented systems. It is self-hosted, and TOML configuration requires the optional installation extra.

Where Specifiction places it

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