github-stats VS changelog-gh-usernames

Compare github-stats vs changelog-gh-usernames 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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github-stats changelog-gh-usernames
1 1
0 1
- -
5.9 10.0
11 months ago 4 months ago
Rust Rust
GNU General Public License v3.0 only 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.

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.

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.

What are some alternatives?

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

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

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

charming - A visualization library for Rust

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

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

cocogitto - The Conventional Commits toolbox

tileline - Simple library to generate SVG block graph

smartrelease - 🖥️ Redirect to release assets dynamically

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.