Tools for Scientific Computing in Ruby
Ruby has for some time had no equivalent to the beautifully constructed numpy, scipy, and matplotlib libraries for Python. We believe that the time for a Ruby science and visualization package has come and gone. Sometimes when a solution of sugar and water becomes super-saturated, from it precipitates a pure, delicious, and diabetes-inducing crystal of sweetness, induced by no more than the tap of a finger. So it is, we believe, with the need for numeric and visualization libraries in Ruby.
We are not the first with this idea, but we are trying to bring it to life.
Please be aware that SciRuby is in PRE-ALPHA status. If you're thinking of using SciRuby to write mission critical code, such as for driving a car or flying a space shuttle, you may wish to choose other software (for now).
A note about repositories
Most of the work right now is happening in NMatrix. If you want to help out, you should check out either mohawkjohn's or chriswailes' fork of NMatrix, not this one.
Updates only happen in the main repository when a feature becomes stable. The project activity log may be misleading.
SciRuby::Plotter - visualization GUI for updating plots as scripts are modified
SciRuby::Editor - code editor for modifying rubyvis plot scripts
Statsample - a suite for basic and advanced statistics in Ruby
SciRuby::Analysis - domain-specific language (DSL) for hassle-free statistical analysis (originally from Statsample)
Minimization algorithms in pure Ruby and using GSL
Numeric integration algorithms
NMatrix, an experimental linear algebra system for Ruby, with dense and sparse matrices
From the command line,
Or, inside a Ruby shell,
$ require 'sciruby'
statsample (and optionally statsample-optimization)
gem install sciruby
You'll also want to make sure you install the headers for the GUI. If you're using Ubuntu:
sudo apt-get install libgtk2.0-dev libgtksourceview2.0-dev librsvg2-dev libcairo2-dev
You can also optionally get rb-gsl, statistics2, and other useful architecture-specific packages using
gem install statsample-optimization
Note that as of this writing, rb-gsl is incompatible with the 1.15 version of the GSL headers. You should make sure you're using the 1.14 headers.
More detailed installation instructions are available at here
Before commiting any code, you MUST read our Contributor Agreement.
After checking out the source, run:
$ bundle exec rake newb $ bundle install
This task will install any missing dependencies, run the tests/specs, and generate the RDoc.
NOTE: Don't despair if `rake newb` doesn't work for you. We're still working out the kinks.
Copyright © 2010 - 2011, The Ruby Science Foundation.
All rights reserved.
SciRuby is licensed under the BSD 2-clause license. See LICENSE.txt for details.