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

Github Actions vs Luigi

OverviewDecisionsComparisonAlternatives

Overview

Luigi
Luigi
Stacks78
Followers211
Votes9
GitHub Stars18.5K
Forks2.4K
GitHub Actions
GitHub Actions
Stacks48.2K
Followers3.1K
Votes27

Luigi vs Github Actions: What are the differences?

Luigi: *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; Github Actions: Automate your workflow from idea to production. 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.

Luigi and Github Actions can be categorized as "Workflow Manager" tools.

Some of the features offered by Luigi are:

  • dependency resolution
  • workflow management
  • visualization

On the other hand, Github Actions provides the following key features:

  • Multiple workflow files support
  • Free and open source
  • Workflow run interface

Luigi is an open source tool with 13.4K GitHub stars and 2.13K GitHub forks. Here's a link to Luigi's open source repository on GitHub.

According to the StackShare community, Github Actions has a broader approval, being mentioned in 31 company stacks & 30 developers stacks; compared to Luigi, which is listed in 9 company stacks and 34 developer stacks.

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Advice on Luigi, GitHub Actions

Somnath
Somnath

Engineering Leader at Altimetrik Corp.

Jun 25, 2020

Needs adviceonCircleCICircleCIDrone.ioDrone.ioGitHub ActionsGitHub Actions

I am in the process of evaluating CircleCI, Drone.io, and GitHub Actions to cover my #CI/ #CD needs. I would appreciate your advice on comparative study w.r.t. attributes like language-Inclusive support, code-base integration, performance, cost, maintenance, support, ease of use, ability to deal with big projects, etc. based on actual industry experience.

Thanks in advance!

1.82M views1.82M
Comments
Anonymous
Anonymous

Jan 19, 2020

Needs advice

I am so confused. I need a tool that will allow me to go to about 10 different URLs to get a list of objects. Those object lists will be hundreds or thousands in length. I then need to get detailed data lists about each object. Those detailed data lists can have hundreds of elements that could be map/reduced somehow. My batch process dies sometimes halfway through which means hours of processing gone, i.e. time wasted. I need something like a directed graph that will keep results of successful data collection and allow me either pragmatically or manually to retry the failed ones some way (0 - forever) times. I want it to then process all the ones that have succeeded or been effectively ignored and load the data store with the aggregation of some couple thousand data-points. I know hitting this many endpoints is not a good practice but I can't put collectors on all the endpoints or anything like that. It is pretty much the only way to get the data.

294k views294k
Comments

Detailed Comparison

Luigi
Luigi
GitHub Actions
GitHub Actions

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 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.

dependency resolution; workflow management; visualization
Multiple workflow files support; Free and open source; Workflow run interface; Search for actions in GitHub Marketplace; Integrated with Github's Checks API; Logs and artifacts downloading support
Statistics
GitHub Stars
18.5K
GitHub Stars
-
GitHub Forks
2.4K
GitHub Forks
-
Stacks
78
Stacks
48.2K
Followers
211
Followers
3.1K
Votes
9
Votes
27
Pros & Cons
Pros
  • 5
    Hadoop Support
  • 3
    Python
  • 1
    Open soure
Pros
  • 8
    Integration with GitHub
  • 5
    Free
  • 3
    Ready actions in Marketplace
  • 3
    Easy to duplicate a workflow
  • 2
    Read actions in Marketplace
Cons
  • 5
    Lacking [skip ci]
  • 4
    Lacking allow failure
  • 3
    Lacking job specific badges
  • 2
    No ssh login to servers
  • 1
    No manual launch
Integrations
Hadoop
Hadoop
Python
Python
GitHub
GitHub

What are some alternatives to Luigi, GitHub Actions?

Jenkins

Jenkins

In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.

Travis CI

Travis CI

Free for open source projects, our CI environment provides multiple runtimes (e.g. Node.js or PHP versions), data stores and so on. Because of this, hosting your project on travis-ci.com means you can effortlessly test your library or applications against multiple runtimes and data stores without even having all of them installed locally.

Codeship

Codeship

Codeship runs your automated tests and configured deployment when you push to your repository. It takes care of managing and scaling the infrastructure so that you are able to test and release more frequently and get faster feedback for building the product your users need.

CircleCI

CircleCI

Continuous integration and delivery platform helps software teams rapidly release code with confidence by automating the build, test, and deploy process. Offers a modern software development platform that lets teams ramp.

TeamCity

TeamCity

TeamCity is a user-friendly continuous integration (CI) server for professional developers, build engineers, and DevOps. It is trivial to setup and absolutely free for small teams and open source projects.

Drone.io

Drone.io

Drone is a hosted continuous integration service. It enables you to conveniently set up projects to automatically build, test, and deploy as you make changes to your code. Drone integrates seamlessly with Github, Bitbucket and Google Code as well as third party services such as Heroku, Dotcloud, Google AppEngine and more.

wercker

wercker

Wercker is a CI/CD developer automation platform designed for Microservices & Container Architecture.

GoCD

GoCD

GoCD is an open source continuous delivery server created by ThoughtWorks. GoCD offers business a first-class build and deployment engine for complete control and visibility.

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.

Shippable

Shippable

Shippable is a SaaS platform that lets you easily add Continuous Integration/Deployment to your Github and BitBucket repositories. It is lightweight, super simple to setup, and runs your builds and tests faster than any other service.

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