Awesome GitHub RepositoriesProportional Data Plots

chart.xkcd is a client-side JavaScript library used to generate data visualizations as scalable vector graphics directly in the browser. It functions as a graphing utility that manipulates DOM elements to produce various chart types without requiring server-side dependencies. The library is distinguished by a rendering engine that applies randomized stroke offsets and variable line weights to SVG paths. This process simulates a sketchy, hand-drawn aesthetic for data charts, creating a comic-like visual style. The project supports a variety of visualization formats, including bar, line, circu

FriendsDontLetFriends is a scientific data visualization guide and framework designed to help users create accurate plots while avoiding common data representation mistakes. It provides a collection of scripts and guidelines for selecting distribution plots, color scales, and layouts that accurately represent complex experimental data. The project distinguishes itself through specialized toolkits for revealing hidden patterns in large datasets. It includes systems for heatmap optimization via dimension reordering and outlier management, as well as spatial layout algorithms to improve the inte

Mapshaper is a tool for processing, simplifying, and converting geographic vector data, available as a command-line interface, a web browser tool, and a Node.js library. It functions as a coordinate projector, vector data converter, and web map asset optimizer designed to transform spatial datasets between different coordinate reference systems and file formats. The project is distinguished by its topology-preserving geometry simplification, which reduces vertex counts while maintaining shared boundaries to prevent gaps and overlaps. It further optimizes assets for the web through coordinate

Unovis is a modular SVG and Canvas data visualization library used to build interactive charts, maps, and network graphs. It provides a framework-agnostic set of primitives for creating data dashboards and specialized visualizations. The library is distinguished by its dedicated toolkits for different visualization domains, including an XY charting library for coordinated plots, a network graph framework for relational data, and a geospatial visualization toolkit for TopoJSON-based mapping. Its capability surface covers a wide range of data representations, including linear, area, and bar ch