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  5. Airflow vs Workflowy

Airflow vs Workflowy

OverviewDecisionsComparisonAlternatives

Overview

Workflowy
Workflowy
Stacks56
Followers62
Votes0
Airflow
Airflow
Stacks1.7K
Followers2.8K
Votes128

Airflow vs Workflowy: What are the differences?

Developers describe Airflow as "A platform to programmaticaly author, schedule and monitor data pipelines, by Airbnb". 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. On the other hand, Workflowy is detailed as "A web-based app to stay organized". It is an organizational tool that makes life easier. It's a surprisingly powerful way to take notes, make lists, collaborate, brainstorm, plan and generally organize your brain.

Airflow and Workflowy are primarily classified as "Workflow Manager" and "Task Management" tools respectively.

Airflow is an open source tool with 14.7K GitHub stars and 5.56K GitHub forks. Here's a link to Airflow's open source repository on GitHub.

According to the StackShare community, Airflow has a broader approval, being mentioned in 123 company stacks & 205 developers stacks; compared to Workflowy, which is listed in 3 company stacks and 9 developer stacks.

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Advice on Workflowy, Airflow

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.

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Comments

Detailed Comparison

Workflowy
Workflowy
Airflow
Airflow

It is an organizational tool that makes life easier. It's a surprisingly powerful way to take notes, make lists, collaborate, brainstorm, plan and generally organize your brain.

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.

Take Notes, Make Lists; Project Management
Dynamic: Airflow pipelines are configuration as code (Python), allowing for dynamic pipeline generation. This allows for writting code that instantiate pipelines dynamically.;Extensible: Easily define your own operators, executors and extend the library so that it fits the level of abstraction that suits your environment.;Elegant: Airflow pipelines are lean and explicit. Parameterizing your scripts is built in the core of Airflow using powerful Jinja templating engine.;Scalable: Airflow has a modular architecture and uses a message queue to talk to orchestrate an arbitrary number of workers. Airflow is ready to scale to infinity.
Statistics
Stacks
56
Stacks
1.7K
Followers
62
Followers
2.8K
Votes
0
Votes
128
Pros & Cons
No community feedback yet
Pros
  • 53
    Features
  • 14
    Task Dependency Management
  • 12
    Cluster of workers
  • 12
    Beautiful UI
  • 10
    Extensibility
Cons
  • 2
    Observability is not great when the DAGs exceed 250
  • 2
    Open source - provides minimum or no support
  • 2
    Running it on kubernetes cluster relatively complex
  • 1
    Logical separation of DAGs is not straight forward

What are some alternatives to Workflowy, Airflow?

Trello

Trello

Trello is a collaboration tool that organizes your projects into boards. In one glance, Trello tells you what's being worked on, who's working on what, and where something is in a process.

Asana

Asana

Asana is the easiest way for teams to track their work. From tasks and projects to conversations and dashboards, Asana enables teams to move work from start to finish--and get results. Available at asana.com and on iOS & Android.

Azure DevOps

Azure DevOps

Azure DevOps provides unlimited private Git hosting, cloud build for continuous integration, agile planning, and release management for continuous delivery to the cloud and on-premises. Includes broad IDE support.

Basecamp

Basecamp

Basecamp is a project management and group collaboration tool. The tool includes features for schedules, tasks, files, and messages.

Confluence

Confluence

Capture the knowledge that's too often lost in email inboxes and shared network drives in Confluence instead – where it's easy to find, use, and update.

Redmine

Redmine

Redmine is a flexible project management web application. Written using the Ruby on Rails framework, it is cross-platform and cross-database.

Taskulu

Taskulu

Taskulu is a collaborative project planning service. It combines task management, real-time chat and time tracking into a single interface.

Notion

Notion

A new tool that blends your everyday work apps into one. It's a unified and collaborative workspace for you and your team

Aha!

Aha!

Set product strategy, visualize and share roadmaps, and articulate features so your product development teams can build what matters.

Ora

Ora

Ora enables you to customize your projects and collaborate the way you want! Choose an existing methodology or create your own. Ora has everything your team might need to boost productivity and collaborate! Task management, kanban, lists...

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