RubyCFN is a light-weight CloudFormation DSL

Ruby clone is a command line tool to work with Rsync using DSL!

Executable and ruby library to compiler elm files.

Attempt to provide similar interface as conkyWeather. Find the link to the conkyWeather source?

漢字かな交じり文に、ひらがなとローマ字のふりがな（ルビ）を付けます。

A Rubygems remote source server that implements the core Rubygems web API (gem indicies, specs, push, and yank). Wins for local and private gem servers.

Patches for gem serve, gem push, gem yank, and some utilities to allow use of non-Rubygems.org gem sources

Wraps the git-crypt CLI so that git-crypt can be invoked from a Ruby script or Rakefile.

A thin Ruby wrapper around Helm

RubyHue is a library for interacting with Hue light bulbs from Phillips.

Yet another ruby i2c library

Ruby client to access available SOAP services of ISDS (CZ datovka)

Provides parsing, validation & accessors

RubyJob is a framework for running jobs.

Robokassa integration fixed

Wraps the leiningen CLI so that leiningen can be invoked from a Ruby script or Rakefile.

Gem for mathematics method and different data structure like complex and vector and matrix and some else you're been able to see his method on Homepage of this gem

Multiton provides a transparent, thread safe and highly compatible implementation of the multiton (and singleton) patterns in pure Ruby.

The ruby based nas system

RubyNEAT -- Neural Evolution of Augmenting Topologies for Ruby. By way of an enhanced form of Genetic Algorithms -- the NEAT algorithm, populations of neural nets are evolved to handle pre-defined goals. RubyNEAT is the first implementation of the NEAT algorithm for Ruby, and it leverages Ruby's power to implement the NEAT algorithm in a way that would be difficult to do in other languages. The 'activation function' is largely standalone. Basically, activation is achieved by functional programming. Meaning, once your network is evolved, you can extract it as source code you can then utilize without the RubyNEAT engine. RubyNEAT can be used for nearly any Machine Learning task you can dream of, because it's also extensible and modular. See http://rubyneat.com for the details.