cadence VS argo-events

Compare cadence vs argo-events and see what are their differences.

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cadence argo-events
10 8
6,445 1,752
1.0% 2.7%
9.2 9.5
4 days ago 1 day ago
Go Go
MIT License Apache License 2.0
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.

cadence

Posts with mentions or reviews of cadence. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-21.

argo-events

Posts with mentions or reviews of argo-events. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-25.

What are some alternatives?

When comparing cadence and argo-events you can also consider the following projects:

temporal - Temporal service

sources-for-knative - VMware-related event sources for Knative.

Flowable (V6) - A compact and highly efficient workflow and Business Process Management (BPM) platform for developers, system admins and business users.

argo-cd - Declarative continuous deployment for Kubernetes.

gocelery - Celery Distributed Task Queue in Go

docker-compose - Temporal docker-compose files

argo - Workflow engine for Kubernetes

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

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

optimus - Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.

Faktory - Language-agnostic persistent background job server

configs - Config files used to define parameters specific to compute environments at different Institutions