changelog-gh-usernames VS github-stats

Compare changelog-gh-usernames vs github-stats and see what are their differences.

changelog-gh-usernames

A simple application to find and replace emails in changelogs with GitHub usernames. (by SanchithHegde)
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changelog-gh-usernames github-stats
1 1
1 0
- -
10.0 5.9
4 months ago 11 months ago
Rust Rust
Apache License 2.0 GNU General Public License v3.0 only
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.

changelog-gh-usernames

Posts with mentions or reviews of changelog-gh-usernames. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-01.

github-stats

Posts with mentions or reviews of github-stats. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing changelog-gh-usernames and github-stats you can also consider the following projects:

mol - Automatic versioning of packages with mono-repos in mind

git-open - A command-line tool to open git project website of the containing repository.

git-cliff - A highly customizable Changelog Generator that follows Conventional Commit specifications ⛰️

charming - A visualization library for Rust

cocogitto - The Conventional Commits toolbox

netop - Network Top -- Help you monitor network traffic with bpf

smartrelease - 🖥️ Redirect to release assets dynamically

tileline - Simple library to generate SVG block graph

github-compare - A GitHub repositories statistics command-line tool for the terminal

plotly.rs - Plotly for Rust

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