PheldItunesReporter provides a library and corresponding executable script that calculate and report statistics for a given iTunes library file. When executed, the script prints a text summary of all of the statistics it is capable of generating. It also creates four .PNG image files with graphs of key statistics.

This gem implements the following random network generation models: Erdos-Renyi GNM and GNP, Watts-Strogatz, and preferential attachement. It also implements graph algorithms to study the randomly generated graphs.

A tool for analysis and visualization of projects written in Ruby

Stupid easy business analytics

This aims to provide similar features to access to Bugzilla through WebService APIs in Ruby.

ruby-mext: musical extensions for the Ruby language.

This is a simple machine learning library written in Ruby. It provides implementations of linear regression and multiclass perceptron and visualization and validation methods to verify results. Also included are helper methods to work with training and testing data.

== DESCRIPTION: rutemaweb is the web frontend for rutema. It can be used as a viewer for database files created with the rutema ActiveRecord reporter. It also provides you with some basic statistics about the tests in your database in the form of diagrams of debatable aesthetics but undoubtable value! == FEATURES/PROBLEMS: == SYNOPSIS: rutemaweb [results.db] and browse to http://localhost:7000 for the glorious view == REQUIREMENTS: * patir (http://patir.rubyforge.org) * activerecord (http://ar.rubyonrails.com/) * sqlite3 (http://rubyforge.org/projects/sqlite-ruby/) * ramaze (http://www.ramaze.net/) * ruport (http://rubyreports.org/) * acts_as_reportable * erubis * gruff/RMagick (optional, but needed if you want to see the statistics graphs)

Supplementary Gem to sql_tracker allowing you to compare query data bewteen files

Description

Worked is really the simplest time recording (or tracking, whatever term you prefer) application that does all you need and nothing more (only `date >> file` is easier). It simply takes a time or a time range and an activity and appends it to a hidden file in the current directory. The use case is, that you have '.worked' files in the root directories of your projects, and before you finish your current work period, you probably commit something and you also record your time. Right now, the times are just recorded, no report generation yet.