kpt VS rules_gitops

Compare kpt vs rules_gitops and see what are their differences.

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kpt rules_gitops
7 1
1,638 159
0.7% 2.5%
8.4 6.9
5 days ago 6 days ago
Go Starlark
Apache License 2.0 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.

kpt

Posts with mentions or reviews of kpt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-27.

rules_gitops

Posts with mentions or reviews of rules_gitops. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-07.
  • “You don't need this overengineered goo for your project.”
    4 projects | news.ycombinator.com | 7 Sep 2021
    > “You don't need this overengineered goo for your project.”

    k8s is probably a great excuse to think how to compose your infrastructure and software in a declarative way - I'm still fascinated by https://demo.kubevious.io/ - It just made "click" when playing with that demo - it's not goo it's a different operating system and a different mindset.

    You can do 80% with docker-compose / swarm for small projects but:

    If you read HN you are in a huge bubble - gruelsome patched tomcat7 apps on Java8 with 20 properties/ini/xml config files are still popular - hosting things in docker or doing ci/cd is still not mainstream. At least in Europe in the public sector stuff where I was involved.

    Sure you can mock it - but the declarative approach is powerful - if you can pull it off to have it across all your infrastructure and code with ci/cd and tests you are fast.

    This alone correctly implemented https://github.com/adobe/rules_gitops solves so many problems I can't count the useless meetings we had over any of these bullet points, bazel alone would have solved most major pain points in that project. Just by beeing explizit and declarative.

    Don't believe the hype but it's a powerful weapon.

What are some alternatives?

When comparing kpt and rules_gitops you can also consider the following projects:

kustomize - Customization of kubernetes YAML configurations

rules_docker - Rules for building and handling Docker images with Bazel

kubevela - The Modern Application Platform.

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.

tanka - Flexible, reusable and concise configuration for Kubernetes

otomi-core - Self-hosted DevOps PaaS for Kubernetes

kubeconform - A FAST Kubernetes manifests validator, with support for Custom Resources!

redis-operator - Redis Operator for Kubernetes

build-a-platform-with-krm - Build a platform with the Kubernetes resource model!

Entity Framework - EF Core is a modern object-database mapper for .NET. It supports LINQ queries, change tracking, updates, and schema migrations.

helmfile - Declaratively deploy your Kubernetes manifests, Kustomize configs, and Charts as Helm releases. Generate all-in-one manifests for use with ArgoCD.

werf - A solution for implementing efficient and consistent software delivery to Kubernetes facilitating best practices.