Kandan vs Async

Struggling to choose between Kandan and Async? Both products offer unique advantages, making it a tough decision.

Kandan is a Business & Commerce solution with tags like task-management, kanban, open-source.

It boasts features such as Task management, Project management, Kanban boards, Task assignments, Task priorities, Task due dates, Task progress tracking and pros including Open source, Free, Customizable, Self-hosted option, Integrations.

On the other hand, Async is a Development product tagged with asynchronous, task-queue, job-queue, redis, python.

Its standout features include Asynchronous task execution, Task queues and schedules, Real-time task monitoring, Distributed workers, Failure handling and retries, Results tracking, Python, Django, Flask integration, and it shines with pros like Simple and lightweight, High performance, Reliable and robust, Scalable architecture, Open source and free.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Kandan

Kandan

Kandan is an open-source alternative to Asana for task and project management. It allows teams to create tasks, organize them into projects and kanban boards, assign due dates, priorities, and team members, and track progress.

Categories:
Business & Commerce Project Management
task-management kanban open-source

Kandan Features

  1. Task management
  2. Project management
  3. Kanban boards
  4. Task assignments
  5. Task priorities
  6. Task due dates
  7. Task progress tracking

Pricing

  • Open Source
  • Self-Hosted

Pros

Open source

Free

Customizable

Self-hosted option

Integrations

Cons

Limited features compared to paid options

Can be complex to set up and manage

Lacks some reporting features

Smaller user community

Async

Async

Async is an open source asynchronous task queue / job queue based on Redis, developed in Python. It allows you to run tasks asynchronously outside of the request/response cycle.

Categories:
Development Task Queue
asynchronous task-queue job-queue redis python

Async Features

  1. Asynchronous task execution
  2. Task queues and schedules
  3. Real-time task monitoring
  4. Distributed workers
  5. Failure handling and retries
  6. Results tracking
  7. Python, Django, Flask integration

Pricing

  • Open Source

Pros

Simple and lightweight

High performance

Reliable and robust

Scalable architecture

Open source and free

Cons

Limited documentation

Steep learning curve

No GUI

Requires Redis server

Lacks some advanced features