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Bonita vs Luigi

Bonita

ofelia.com

Luigi

luigi.readthedocs.io

Side by side

FigureBonitaLuigi
Price fromFreeFree
Free planYesYes
Free trialYes—
Open source——
WebYesYes
WindowsYes—
macOSYes—
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published21
Spec score · Workflow Orchestration Software8.4 (#12)7.8 (#23)
Founded20092012
IntegrationsBonita Fabric lists connectors and APIs for LDAP/AD, CRM platforms, databases, UiPath, REST APIs, ERP systems and Jira.The documentation describes task support for Hadoop, Hive, Pig, and Spark, plus HDFS and local file abstractions.
PurposeBonita BPM is an enterprise platform for building governed process applications and orchestrating mission-critical operations.Luigi is a Python package for building complex pipelines of batch jobs and managing their dependencies, workflows, visualization, and failures.

Plans

Bonita

  • Bonita FreeFree
  • Bonita EnterprisePriced on request

Bonita pricing →

Luigi

  • LuigiFree

Luigi pricing →

In their own words

Bonita

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Luigi

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.

Visit luigi.readthedocs.io