Simplified navigation helper for Rails.

Provides a way to build ransack queries without building a form and usable to generate testing queries.

A ruby client for managing interactions with the IMS BioSpecimen Inventory system

Let the Cap'n hop skiip and jump, so you dont have to.

Get stats on San Franscisco real estate

Require all files in a directory tree

A gem to use on_success and on_fail messages to deal with final states of an operation.

This Resque plugin sends a notification when a job fails

RESTWoods is a tool for generating RESTful web API documentation by analyzing block comments.

Obtains foreign exchange rates

Robot Game Model for 5*5 sized on a table with no obstruction and shouldnt fall off the table. This is a test for coding challenge

rocketgate-ruby is a simple interface for communicating with RocketGate's Payment Gateway

An RSpec matcher that ensures expected is an array and each element is of specified type.

RSpec Base Matcher implementation with automatic registration as a module.

RSpec matcher define_constant. Runs block and tracks all defined constants to make sure specified constant name gets defined. Removes defined constant after expectation

checks if expected adheres to specified json schema document. document can be another object or name of a file containing it.

An RSpec matcher that ensures expected is an array and each element is of specified type.

RSpec matcher define_constant. Runs block and tracks all defined constants to make sure specified constant name gets defined. Removes defined constant after expectation

Implements an interface with the Bancbox Invest API

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.