Daru (Data Analysis in RUby) is a library for analysis, manipulation and visualization of data. Daru works seamlessly accross interpreters and leverages interpreter-specific optimizations whenever they are available. It is the default data storage gem for all the statsample gems (glm, timeseries, etc.) and can be used with many others like mixed_models, gnuplotrb, nyaplot and iruby.

Scientific gems for Ruby. This is the full installation with rigid version constraints.

Ruby wrapper for Apache Spark

A suite for basic and advanced statistics on Ruby. Tested on CRuby 1.9.3, 2.0.0 and 2.1.1. See `.travis.yml` for more information. Include: - Descriptive statistics: frequencies, median, mean, standard error, skew, kurtosis (and many others). - Correlations: Pearson's r, Spearman's rank correlation (rho), point biserial, tau a, tau b and gamma. Tetrachoric and Polychoric correlation provides by statsample-bivariate-extension gem. - Intra-class correlation - Anova: generic and vector-based One-way ANOVA and Two-way ANOVA, with contrasts for One-way ANOVA. - Tests: F, T, Levene, U-Mannwhitney. - Regression: Simple, Multiple (OLS), Probit and Logit - Factorial Analysis: Extraction (PCA and Principal Axis), Rotation (Varimax, Equimax, Quartimax) and Parallel Analysis and Velicer's MAP test, for estimation of number of factors. - Reliability analysis for simple scale and a DSL to easily analyze multiple scales using factor analysis and correlations, if you want it. - Dominance Analysis, with multivariate dependent and bootstrap (Azen & Budescu) - Sample calculation related formulas - Structural Equation Modeling (SEM), using R libraries +sem+ and +OpenMx+ - Creates reports on text, html and rtf, using ReportBuilder gem - Graphics: Histogram, Boxplot and Scatterplot.

rails-data-explorer is a Rails Engine plugin that makes it easy to explore the data in your app using charts and statistics.

Crokus is a parser for a subset of C language. It has been use for teaching purposes and applied to Electronic System Level experiments.

Fit statistical (linear) models with fixed and mixed (random) effects in Ruby

Ruby code translations and additional material for the book "Statistical Rethinking" of Richard McElreath

YPetri is a DSL (domain-specific language) for modelling of dynamical systems. It is biologically inspired, but concerns of biology and chemistry have been purposely separated away from it. YPetri caters solely to the two main concerns of modelling, model specification and simulation, and it excels in the first one. Dynamical systems are described under a Petri net paradigm. YPetri implements a universal Petri net abstraction that integrates discrete/continous, timed/timeless and stoichiometric/nonstoichiometric dichotomies of the extended Petri nets, and allows efficient specification of any kind of dynamical system. Like Petri nets themselves, YPetri was inspired by problems from the domain of chemistry (biochemical pathway modelling), but is not specific to it. Other gems, YChem and YCell are planned to cater to the concerns specific to chemistry and cell biochemistry. A lower-level extension of YPetri is currently under development under the name YNelson. Its usage is practically identical to YPetri, so any YPetri user can now consider using YNelson instead. YNelson covers additional concerns: it allows relations among nodes and parameters to be specified under a zz structure paradigm (developed by Ted Nelson) and it is also aimed towards providing a higher level of abstraction in Petri net specification by providing commands that create more than one Petri net node per command. YPetri documentation is avalable online, but due to formatting issues, you may prefer to generate the documentation on your own by running rdoc in the gem directory. As for the user manuals, there are currently 3 documents applicable for both YPetri and YNelson, whose master copies are stored in the YNelson source directory: 1. Introduction to YNelson and YPetri (hands-on tutorial), 2. Object model of YNelson and YPetri, 3. Introduction to Ruby for YNelson users. These manuals are written to allow beginners, including those unfamiliar with Ruby, to start working with YPetri and/or YNelson. For an example of how YPetri can be used to model complex dynamical systems, see the eukaryotic cell cycle model which I released as "cell_cycle" gem.

Runs automated REST API based on YAML definition. Uses templates for API requests, mock data with faker and cz_faker and context data. Supports Postman collection export for conversion.

Command line tool and library for analyzing Bayesian A/B tests.

Run Real Experiment and Calculate Non-Parametric Statistics.

Daru (Data Analysis in RUby) is a library for analysis, manipulation and visualization of data. Daru works seamlessly accross interpreters and leverages interpreter-specific optimizations whenever they are available. It is the default data storage gem for all the statsample gems (glm, timeseries, etc.) and can be used with many others like mixed_models, gnuplotrb and iruby. Daru Lite is a fork of Daru that aims to focus on data manipulation and stability.

Financial Engine Gem. Functionality for put/call pricing, annuity valuation, Gordon Growht Model valuation, time value of money module, and hopefully more to come.

Part of IB-Ruby. Tools to to access the tws-api comfortably.

A stocks and Options Trading Bot.

Simulates MS1 runs given amino acid FASTA files. Outputs an MZML file. Can simulate specific data if given an MZML file containing a single isolated peptide peak.

Gem gives approximate normal distribution values(pdf and cdf).

A Toolbox of Artificial Intelligence designed to help to solve a wide range of problems

Data-mining and statistics