work VS Faktory

Compare work vs Faktory and see what are their differences.

work

Process background jobs in Go (by gocraft)

Faktory

Language-agnostic persistent background job server (by contribsys)
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work Faktory
5 23
2,318 5,503
0.6% 1.0%
0.0 7.7
about 1 month ago 5 days 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.

work

Posts with mentions or reviews of work. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-24.

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 work and Faktory you can also consider the following projects:

Asynq - Simple, reliable, and efficient distributed task queue in Go

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

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

temporal - Temporal service

gocelery - Celery Distributed Task Queue in Go

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

cadence - Cadence is a distributed, scalable, durable, and highly available orchestration engine to execute asynchronous long-running business logic in a scalable and resilient way.

nsq - A realtime distributed messaging platform

Sidekiq - Simple, efficient background processing for Ruby

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