A simple plotting library
A JavaScript library for exploratory data visualization.
Box Plot Component for Victory
The mark plot in antv/g2
A plotly.js react component from Plotly
NodeJS frontend-less plotting lib using plotly.js inspired by matplotlib
Chart.js module for charting boxplots and violin charts
A Mosaic-powered plotting framework based on Observable Plot.
2D webgl plots
A simple 2d function plotter powered by d3
Quick start rendering engine for plotting/data visualization
High-performance 2D plotting library based on native WebGL
A simple, safe, JavaScript Filter Expression compiler for end-users
The simplest plotting API for JavaScript and TypeScript.
Scatter2d plot built with regl
Plotting.
Interactive, novel data visualization
## About ##
Simple ascii chart generator
A scatter plot.
A small, fast chart for time series, lines, areas, ohlc & bars
Chart.js module for charting error bars
### Installation
Plot @tracespace/parser ASTs into image trees.
A graphing engine for jqplot
single interface to line-plotting data in [] or NArray
Data Analysis wrapper for ruby arrays
Library to draw simple ASCII charts (x,y graph plots and histograms)
A simple plotting library for Ruby
Library to draw simple ASCII charts (x,y graph plots and histograms)
Don't look for emotions, where are not emotions. Simple program to analyze emotions in texts by keywords database. Use by: artemo [your text file], to plot data to pdf use artemo --plot [your text file] For multiple files use: for i in *;do artemo --plot "$i";done
Ruby Scientist and Graphics is a practical data science toolkit for Ruby. It includes a lightweight built-in DataFrame for loading, cleaning, and transforming data; quick descriptive statistics and correlations; charting via Gruff (bar and line); and simple ML utilities (linear regression and k-means)—all behind a small, unified, pandas-inspired API. Key features: - Load data from CSV and JSON. - Clean and transform (remove/add columns, handle missing values, limit rows). - Describe datasets and compute correlations quickly. - Create bar and line charts with customization options. - Train/predict with linear regression; cluster with k-means. - Save/load project state (data + trained model) and run simple pipelines. - Optional backend adapters (e.g., Rover) while keeping the same API. Ideal for analysts and developers who want to explore data in Ruby without relying on Python or R. Note: plotting via Gruff uses rmagick, which requires ImageMagick installed on the system.
texlab a toolkit based on erb that for creating documents and doing calculations at the same time. It is capable to output the proper number of significant digits, generate tables and plots using gnuplot. It has a simple DSL.
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