ruby-vips VS torch.rb

Compare ruby-vips vs torch.rb and see what are their differences.

ruby-vips

Ruby extension for the libvips image processing library. (by libvips)

torch.rb

Deep learning for Ruby, powered by LibTorch (by ankane)
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ruby-vips torch.rb
4 5
813 626
0.2% -
7.0 7.5
about 2 months ago 10 days ago
Ruby Ruby
MIT License GNU General Public License v3.0 or later
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.

ruby-vips

Posts with mentions or reviews of ruby-vips. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-01.

torch.rb

Posts with mentions or reviews of torch.rb. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-18.

What are some alternatives?

When comparing ruby-vips and torch.rb you can also consider the following projects:

MiniMagick - mini replacement for RMagick

Grape - An opinionated framework for creating REST-like APIs in Ruby.

RMagick - Ruby bindings for ImageMagick

rainbow - Ruby gem for colorizing printed text on ANSI terminals

IMGKit - Uses wkhtmltoimage to create JPGs and PNGs from HTML

Polyphony - Fine-grained concurrency for Ruby

Phashion - Ruby wrapper around pHash, the perceptual hash library for detecting duplicate multimedia files

rotp - Ruby One Time Password library

PSD.rb - Parse Photoshop files in Ruby with ease

EventMachine - EventMachine: fast, simple event-processing library for Ruby programs

rszr - Fast image resizer for Ruby

faiss-ruby - Efficient similarity search and clustering for Ruby