starfetch VS menyoki

Compare starfetch vs menyoki and see what are their differences.

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starfetch menyoki
1 13
9 564
- -
0.0 6.1
about 2 years ago 3 months ago
Rust Rust
GNU General Public License v3.0 only 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.

starfetch

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

menyoki

Posts with mentions or reviews of menyoki. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-31.

What are some alternatives?

When comparing starfetch and menyoki you can also consider the following projects:

tidy-viewer - 📺(tv) Tidy Viewer is a cross-platform CLI csv pretty printer that uses column styling to maximize viewer enjoyment.

photon - ⚡ Rust/WebAssembly image processing library

pueue - :stars: Manage your shell commands.

simp - 🖼️ Simp is a fast and simple GPU-accelerated image manipulation program.

git-tidy - Tidy up stale git branches.

rscolorq - Spatial color quantization in Rust

warp-cors - warp-cors is a proxy server which enables CORS for the proxied request

t-rec-rs - Blazingly fast terminal recorder that generates animated gif images for the web written in rust

broot - A new way to see and navigate directory trees : https://dystroy.org/broot

r-liv - Rust Lean Image Viewer - Fast and configurable image viewer inspired by JPEGView by David Kleiner

zoxide - A smarter cd command. Supports all major shells.

image-conv - Rust library for image convolution.