Asynq VS Faktory

Compare Asynq vs Faktory and see what are their differences.

Asynq

Simple, reliable, and efficient distributed task queue in Go (by hibiken)

Faktory

Language-agnostic persistent background job server (by contribsys)
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Asynq Faktory
32 23
8,581 5,469
- 0.8%
7.0 7.9
7 days ago 2 months ago
Go Go
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Asynq

Posts with mentions or reviews of Asynq. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-06.

Faktory

Posts with mentions or reviews of Faktory. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-24.

What are some alternatives?

When comparing Asynq and Faktory you can also consider the following projects:

machinery - Machinery is an asynchronous task queue/job queue based on distributed message passing.

gocron - Easy and fluent Go cron scheduling. This is a fork from https://github.com/jasonlvhit/gocron

work - Process background jobs in Go

temporal - Temporal service

NATS - Golang client for NATS, the cloud native messaging system.

go-quartz - Minimalist and zero-dependency scheduling library for Go

Sidekiq - Simple, efficient background processing for Ruby

nsq - A realtime distributed messaging platform

leprechaun - You had one job, or more then one, which can be done in steps

gocelery - Celery Distributed Task Queue in Go

sched - A job scheduler for Go with the ability to fast-forward time.