kapitan-reference VS kapitan

Compare kapitan-reference vs kapitan and see what are their differences.


Reference structure for Kapitan - alpha version (by kapicorp)
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kapitan-reference kapitan
2 3
40 1,673
- 0.9%
3.9 3.5
about 1 month ago 8 days ago
Python Python
- 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.


Posts with mentions or reviews of kapitan-reference. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-19.


Posts with mentions or reviews of kapitan. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-24.

What are some alternatives?

When comparing kapitan-reference and kapitan you can also consider the following projects:

tanka - Flexible, reusable and concise configuration for Kubernetes

kustomize - Customization of kubernetes YAML configurations

devops-exercises - Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

jinja2-cli - CLI for Jinja2


infraform - Creating infrastructure and running applications using different platforms

pyspark-k8s-boilerplate - Boilerplate for PySpark on Cloud Kubernetes

djLint - ✨ HTML Template Linter and Formatter. Django - Jinja - Nunjucks - Handlebars - GoLang

ytt - YAML templating tool that works on YAML structure instead of text

checkov - Prevent cloud misconfigurations and find vulnerabilities during build-time in infrastructure as code, container images and open source packages with Checkov by Bridgecrew.

bodywork - ML pipeline orchestration and model deployments on Kubernetes, made really easy.

jinsi - JSON/YAML homoiconic templating language