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

Luigi vs Sococo

OverviewDecisionsComparisonAlternatives

Overview

Luigi
Luigi
Stacks78
Followers211
Votes9
GitHub Stars18.5K
Forks2.4K
Sococo
Sococo
Stacks2
Followers8
Votes0

Luigi vs Sococo: What are the differences?

Developers describe Luigi 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. On the other hand, Sococo is detailed as "Designed for businesses with a remote workforce". It is an online platform that helps collaborate and communicate with team members across multiple locations. It is the online workplace where distributed teams come to work together each day, side-by-side.

Luigi belongs to "Workflow Manager" category of the tech stack, while Sococo can be primarily classified under "Team Task Management".

Some of the features offered by Luigi are:

  • dependency resolution
  • workflow management
  • visualization

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

  • Live audio
  • HD video conferencing
  • Document sharing

Luigi is an open source tool with 12.2K GitHub stars and 2K GitHub forks. Here's a link to Luigi's open source repository on GitHub.

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Advice on Luigi, Sococo

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
Sococo
Sococo

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 is an online platform that helps collaborate and communicate with team members across multiple locations. It is the online workplace where distributed teams come to work together each day, side-by-side

dependency resolution; workflow management; visualization
Live audio; HD video conferencing; Document sharing; Mobile apps
Statistics
GitHub Stars
18.5K
GitHub Stars
-
GitHub Forks
2.4K
GitHub Forks
-
Stacks
78
Stacks
2
Followers
211
Followers
8
Votes
9
Votes
0
Pros & Cons
Pros
  • 5
    Hadoop Support
  • 3
    Python
  • 1
    Open soure
No community feedback yet
Integrations
Hadoop
Hadoop
Python
Python
Balsamiq
Balsamiq
Basecamp
Basecamp
Jira
Jira
Agilean
Agilean
Jira Align
Jira Align

What are some alternatives to Luigi, Sococo?

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.

Standup

Standup

Standup automatically processes data from your source control and project managment software to deliver daily engineering progress reports.

Jell

Jell

Keep your team up to date — without another meeting.

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.

StandupMail

StandupMail

A daily email reminder requests a quick update from you and your team. You reply with a list of your accomplishments, todos and problems. The next day, get a digest email with what your team got accomplished.

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.

iDoneThis

iDoneThis

Every evening, iDoneThis sends you an email that asks you what you got done that day. The next morning, we send a digest of what everyone on your team got done the previous day to you and your team members.

Favro

Favro

It is a planning app which is designed to help your team to carry out complex business plans with ease and efficiency. This software is a great help for marketers and developers because it offers some intuitive and easy to use features for activity planning.

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.

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