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If you want to get involved, please drop by our mailing list or our IRC channel, #sciruby at chat.freenode.net. Please note that SciRuby and NMatrix require Ruby 1.9.2 or higher. Individual components may work with Ruby 1.8, but we may not be able to help you if you have trouble.

We're applying as a mentoring organization in GSoC 2021! Please take a look at the Google Summer of Code 2021 Ideas page if you want to participate.

If you want to know more about why we're developing SciRuby, read the The SciRuby Manifesto. You can also take a look at who are our main contributors in the members page.

• Installation - Instructions for Linux and OS X, with fixes for the most common errors.

Subprojects

SciRuby is an umbrella for various other projects. Most of the work is done in the underlying libraries:

Number Crunching

Linear Algebra

• NMatrix (for the standard version of Ruby)
• MDArray (for JRuby)

Statistics

• Statsample
• Statsample TimeSeries
• Statsample Bivariate Extension
• Statsample GLM
• Distribution

Data Analysis and Manipulation

• daru
• daru-io
• daru-view

Miscellaneous Numerical Algorithms

• Minimization
• Integration

Plotting, Visualization, and UI

• IRuby, based on IPython
• sciruby-notebooks
• Rubyvis
• Plotrb
• Gnuplotrb
• Nyaplot
• daru-view

GPGPU computing

• Arrayfire-rb
• RbCUDA

Miscellaneous

• Data mining: Ruby-band
• Data publishing: PubliSci

Other projects that we should keep an eye on

We have two lists of projects that we should keep an eye on, because they can be ported to Ruby or they already implement some scientific functionality.

• Scientific projects in Ruby - Library wrappers and others. We should avoid overlapping with them.
• External Software - Scientific software that can be useful to have in mind.