Data Visualization

VisualArray provides an easy way to represent and display multi-dimensional arrays in a visually appealing tabular format, making data analysis and debugging more intuitive.

The Automation-Audio gem is a powerful Ruby library designed for audio analysis and processing. It enables users to easily extract frequency domain information from WAV audio files by performing Fast Fourier Transform (FFT). This gem is ideal for developers, researchers, and audio enthusiasts looking to analyze sound data, visualize audio frequencies, or implement audio processing algorithms.

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.

A lightweight and straightforward Ruby wrapper for Plotly.js, enabling developers to create interactive, high-quality data visualizations effortlessly.

Easily visualize data from your ruby code

Library for data visualization in the terminal.

A toolkit for making custom visualizations for exploratory data analysis (currently a work in progress)

This is an interface to quickly visualize data on the command line. It supports various kinds of plots (curves, bar diagram, histogram, 2D color, etc) that are presented as text output on the console.

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.