gitoxide VS image

Compare gitoxide vs image and see what are their differences.

gitoxide

An idiomatic, lean, fast & safe pure Rust implementation of Git (by Byron)

image

Encoding and decoding images in Rust (by image-rs)
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gitoxide image
24 17
2,638 2,507
- 3.4%
10.0 9.3
5 days ago 2 days ago
Rust Rust
GNU General Public License v3.0 or later MIT License
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.

gitoxide

Posts with mentions or reviews of gitoxide. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-29.

image

Posts with mentions or reviews of image. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-25.

What are some alternatives?

When comparing gitoxide and image you can also consider the following projects:

opencv-rust - Rust bindings for OpenCV 3 & 4

rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations

imageproc (PistonDevelopers) - Image processing operations

Raster - An image processing library for Rust

oxipng - Multithreaded PNG optimizer written in Rust

winit - Window handling library in pure Rust

CompactGUI - Visual Interface for the Windows 10 Compact Function

imageproc - An advanced image processing library for Rust.

delta - A syntax-highlighting pager for git and diff output

tqdm - A Fast, Extensible Progress Bar for Python and CLI

steganography - A simple steganography library written in rust

img-hash - A Rust library for calculating perceptual hash values of images