git-cliff VS kube

Compare git-cliff vs kube and see what are their differences.

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git-cliff kube
33 18
7,609 2,685
- 4.4%
9.7 9.0
4 days ago 3 days ago
Rust Rust
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.

git-cliff

Posts with mentions or reviews of git-cliff. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-10.

kube

Posts with mentions or reviews of kube. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-06.

What are some alternatives?

When comparing git-cliff and kube you can also consider the following projects:

conventional-changelog - Generate changelogs and release notes from a project's commit messages and metadata.

k8s-openapi - Rust definitions of the resource types in the Kubernetes client API

cocogitto - The Conventional Commits toolbox

kubie - A more powerful alternative to kubectx and kubens

git-cliff-action - GitHub action to generate a changelog based on the Git history

sqlparser-rs - Extensible SQL Lexer and Parser for Rust

changie - Automated changelog tool for preparing releases with lots of customization options

winsafe - Windows API and GUI in safe, idiomatic Rust.

cargo-update - A cargo subcommand for checking and applying updates to installed executables

v8-runtime-tutorial - Source code for the tutorial series

GitHub Changelog Generator - Automatically generate change log from your tags, issues, labels and pull requests on GitHub.

mirrord - Connect your local process and your cloud environment, and run local code in cloud conditions.