Data plotting library for Rust

Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk thr…

Draw various frames and boxes in your terminal window

Chart.js Box Plot addon

Chart.js Box Plots and Violin Plot Charts

Polymer Element wrapper for highcharts library. Seamlessly create various types of charts from one element.

Minimal R/Shiny Interface to ECharts.js

Shiny App for comparison of samples

R tool for automated creation of ggplots. Examines one, two, or three variables and creates, based on their characteristics, a scatter, violin, box, bar, density, hex or spine plot, or a heat map. Also automates handling of observation weights, log-scaling of axes, reordering of factor levels, and overlays of smoothing curves and median lines.

A repository comprising multiple functions for making elegant publication-quality figures in MATLAB

Development version of vioplot R package (CRAN maintainer)

d3js box plot plugin

This project implements a personalized apparel recommendation engine using content-based search with the Amazon API, NLTK, and Keras libraries.

demir.ai Dataset Operations

Blazor Apache ECharts library

Simple SVG box plots in React

In this tutorial, you'll learn how to re-create this map with an eye on using inset graphs within a map in R

[MATLAB] An improved box plot that shows the data-points along with the median and the quartiles.

Python package containing functions implemented for descriptive and inferential statistics.

Package for automation of statistics that are widely used in metabolomics.