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  1. Stackups
  2. Utilities
  3. Task Scheduling
  4. Workflow Manager
  5. Couler vs Luigi

Couler vs Luigi

OverviewComparisonAlternatives

Overview

Luigi
Luigi
Stacks78
Followers211
Votes9
GitHub Stars18.5K
Forks2.4K
Couler
Couler
Stacks0
Followers2
Votes0
GitHub Stars943
Forks88

Couler vs Luigi: What are the differences?

Developers describe Couler as "Unified interface for constructing and managing workflows on different workflow engines". It aims to provide a unified interface for constructing and managing workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow. On the other hand, Luigi is detailed as "*ETL and data flow management library *". It is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

Couler and Luigi belong to "Workflow Manager" category of the tech stack.

Some of the features offered by Couler are:

  • Unified interface and imperative programming style for defining workflows with automatic construction of directed acyclic graph (DAG)
  • Extensible to support various workflow engines
  • Reusable steps for tasks such as distributed training of machine learning models

On the other hand, Luigi provides the following key features:

  • dependency resolution
  • workflow management
  • visualization

Luigi is an open source tool with 13.7K GitHub stars and 2.17K GitHub forks. Here's a link to Luigi's open source repository on GitHub.

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Detailed Comparison

Luigi
Luigi
Couler
Couler

It is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

It aims to provide a unified interface for constructing and managing workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.

dependency resolution; workflow management; visualization
Unified interface and imperative programming style for defining workflows with automatic construction of directed acyclic graph (DAG); Extensible to support various workflow engines; Reusable steps for tasks such as distributed training of machine learning models; Automatic workflow and resource optimizations under the hood
Statistics
GitHub Stars
18.5K
GitHub Stars
943
GitHub Forks
2.4K
GitHub Forks
88
Stacks
78
Stacks
0
Followers
211
Followers
2
Votes
9
Votes
0
Pros & Cons
Pros
  • 5
    Hadoop Support
  • 3
    Python
  • 1
    Open soure
No community feedback yet
Integrations
Hadoop
Hadoop
Python
Python
Argo
Argo
Airflow
Airflow
Kubeflow
Kubeflow

What are some alternatives to Luigi, Couler?

Airflow

Airflow

Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.

GitHub Actions

GitHub Actions

It makes it easy to automate all your software workflows, now with world-class CI/CD. Build, test, and deploy your code right from GitHub. Make code reviews, branch management, and issue triaging work the way you want.

Apache Beam

Apache Beam

It implements batch and streaming data processing jobs that run on any execution engine. It executes pipelines on multiple execution environments.

Zenaton

Zenaton

Developer framework to orchestrate multiple services and APIs into your software application using logic triggered by events and time. Build ETL processes, A/B testing, real-time alerts and personalized user experiences with custom logic.

Unito

Unito

Build and map powerful workflows across tools to save your team time. No coding required. Create rules to define what information flows between each of your tools, in minutes.

Shipyard

Shipyard

na

Flow-Like

Flow-Like

Mission-critical automation you can audit, control and run on-prem. No black boxes. No silent failures. No data leaks. Built for teams that cannot afford uncertainty.

ETLR

ETLR

Production-grade workflow automation. No drag-and-drop required. Build, version, and deploy your workflows with YAML.

Vison AI

Vison AI

Hire AI Employees that deliver Human-Quality work. Automate repetitive tasks, scale effortlessly, and focus on business growth without increasing head count.

Page d'accueil

Page d'accueil

Thaink² Analytics, la plateforme data et IA de nouvelles génération pour gérer vos projets de bout-en-bout. Fini les pipelines de données instables, les modèles ML/IA qui restent au stade du POC.

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