worker VS gocelery

Compare worker vs gocelery and see what are their differences.

worker

A beanstalkd worker package (by eramus)

gocelery

Celery Distributed Task Queue in Go (by gocelery)
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worker gocelery
1 6
23 2,326
- 0.7%
10.0 0.0
about 8 years ago 8 months ago
Go Go
- MIT License
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.

worker

Posts with mentions or reviews of worker. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-06.

gocelery

Posts with mentions or reviews of gocelery. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-06.

What are some alternatives?

When comparing worker and gocelery you can also consider the following projects:

asyncjobs - Asynchronous Job Processor

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

temporal - Temporal service

Nomad - Nomad is an easy-to-use, flexible, and performant workload orchestrator that can deploy a mix of microservice, batch, containerized, and non-containerized applications. Nomad is easy to operate and scale and has native Consul and Vault integrations.

go-micro - A Go microservices framework

celeriac - Golang client library for adding support for interacting and monitoring Celery workers, tasks and events.

grpc-go - The Go language implementation of gRPC. HTTP/2 based RPC

serf - Service orchestration and management tool.

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.

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

ringpop-go - Scalable, fault-tolerant application-layer sharding for Go applications

Dkron - Dkron - Distributed, fault tolerant job scheduling system https://dkron.io