rubycliweather provides an easy-to-use CLI that harnesses the Wunderground XML API and delivers pretty forecasts FAST right to your terminal

rubyconf is a ruby configuration dsl that aims to make it simple to write and read configurations for ruby apps without a yaml or xml file

longer description of your gem

Wraps up the CSS lint tool from https://github.com/stubbornella/csslint into a gem

A Ruby SOAP client for accessing Desire2Learn Web Services (D2LWS)

Search for artists, albums and tracks with Deezer API

A collection of useful utilities and libraries for Ruby development (not Rails)

A clone of Gnome-Do and Kupfer written in Ruby.

A plugin for Ruby-Do that executes installed applications.

A plugin for Ruby-Do that allows searching for and executing files.

A plugin for Ruby-Do that can log out, suspend, hibernate and shut the computer down.

Ultra-basic classes for working with Ext.js requests and translating them to DataMapper / Mongood query opts.

Upload image use gallery

This project has been renamed to Museum. This version has been abandoned and remains here only for historical reasons.

enhaced grep program: higlights matches & filenames, shows line numbers

A collection of handy little hacks to Ruby objects. Does not modify default behaviours.

Simple Ruby bindings for the RefHeap https://refheap.com/ API.

A simple Ruby interface to the Loggly API

This gem extend ruby-openid gem

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.