galaaz | tightly coupling Ruby and R. It substitutes the SciCom

galaaz is a HTML library. galaaz has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Galaaz is a system for tightly coupling Ruby and R. Ruby is a powerful language, with a large community, a very large set of libraries and great for web development. However, it lacks libraries for data science, statistics, scientific plotting and machine learning. On the other hand, R is considered one of the most powerful languages for solving all of the above problems. Maybe the strongest competitor to R is Python with libraries such as NumPy, Panda, SciPy, SciKit-Learn and a couple more. With Galaaz we do not intend to re-implement any of the scientific libraries in R, we allow for very tight coupling between the two languages to the point that the Ruby developer does not need to know that there is an R engine running. According to Wikipedia "Ruby is a dynamic, interpreted, reflective, object-oriented, general-purpose programming language. It was designed and developed in the mid-1990s by Yukihiro "Matz" Matsumoto in Japan." It reached high popularity with the development of Ruby on Rails (RoR) by David Heinemeier Hansson. RoR is a web application framework first released around 2005. It makes extensive use of Ruby's metaprogramming features. With RoR, Ruby became very popular. According to Ruby's Tiobe index it peeked in popularity around 2008, then declined until 2015 when it started picking up again. At the time of this writing (November 2018), the Tiobe index puts Ruby in 16th position as most popular language. Python, a language similar to Ruby, ranks 4th in the index. Java, C and C++ take the first three positions. Ruby is often criticized for its focus on web applications. But Ruby can do much more than just web applications. Yet, for scientific computing, Ruby lags way behind Python and R. Python has Django framework for web, NumPy for numerical arrays, Pandas for data analysis. R is a free software environment for statistical computing and graphics with thousands of libraries for data analysis.