Awesome GitHub RepositoriesLayout Algorithms

D3 is a modular library providing low-level primitives for creating data-driven visualizations. It functions as a flexible framework that allows for direct control over visual presentation by mapping abstract data dimensions to graphical properties, such as position, color, and size, without imposing predefined chart abstractions. The library distinguishes itself by offering specialized tools for complex data representation, including algorithmic layouts for hierarchical structures and geographic projection utilities for mapping spherical coordinates. It also includes a comprehensive suite fo

Manim is a scriptable, code-driven framework designed for generating precise technical visualizations and mathematical animations. By using a high-level programming interface, it allows users to define geometric shapes, motion paths, and animation logic that are compiled into high-quality video assets. The system functions as a specialized engine for creating reproducible, data-driven representations of complex mathematical concepts and geometric transformations. The framework distinguishes itself through an interpolation-based engine that calculates intermediate states between keyframes to e

Aseprite is a specialized graphics editor and animation suite designed for the creation of pixel-based artwork. It provides a comprehensive environment for managing multi-layered animation sequences, offering tools for frame-by-frame design, onion skinning, and real-time motion previews. The application is built to handle both indexed color palettes and full-color RGB editing, allowing users to maintain precise control over pixel data and transparency. What distinguishes Aseprite is its focus on programmable workflows and game asset production. It features a scriptable command architecture th

G2 is a declarative data visualization engine that constructs complex charts and graphical representations by mapping raw data to visual elements through a systematic grammar of graphics. It functions as a modular framework for building custom analytical visualizations, allowing users to define visual encodings and coordinate systems independently of the underlying data. The library distinguishes itself through a multi-backend rendering pipeline that supports Canvas, SVG, and WebGL, ensuring consistent graphical performance across different environments. Its architecture relies on a plugin-ba

react-vis is a declarative, component-based React data visualization library. It provides a framework of reusable building blocks for rendering interactive charts and graphs by mapping raw data to visual attributes such as position, color, and size. The system leverages D3 for its scaling and layout logic. The library is distinguished by its ability to handle complex data relationships, including hierarchical data via tree maps and circle packing, as well as multidimensional analysis using parallel axes and radar charts. It also supports network flow mapping to illustrate the volume and direc

react-vis es una librería de visualización de datos de React y un framework de gráficos declarativo utilizado para crear representaciones gráficas componibles. Proporciona un sistema para renderizar visualizaciones complejas componiendo bloques de construcción simples en estructuras de gráficos más grandes. La librería incluye herramientas especializadas para el mapeo de datos jerárquicos mediante diagramas sunburst y mapas de árbol, así como visualización de flujo y relaciones mediante diagramas de Sankey. También proporciona un visualizador de datos multivariante para trazar datos de alta dimensión mediante coordenadas paralelas, gráficos de radar y visualizaciones radiales. El framework admite implementaciones de gráficos estándar para gráficos de líneas, barras y circulares, junto con la gestión de leyendas de gráficos y gráficos de coordenadas ortogonales. Estas visualizaciones se generan utilizando gráficos vectoriales escalables.

metrics-graphics is a data visualization library and declarative graphics framework designed to create principled data graphics and layouts. It functions as a statistical graphics engine that maps raw data to geometric shapes and structured objects to render complex, data-driven layouts. The toolkit specializes in rendering time-series data through line charts and scatterplots using a consistent layout system. It also provides capabilities for statistical distribution mapping, including the creation of rug plots to represent one-dimensional data density. The system covers a broad surface of

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

Dagre is a pure JavaScript library for automatically laying out directed graphs. It implements a layered graph drawing algorithm based on the Sugiyama framework, positioning nodes in horizontal layers and routing edges to produce clear, readable visualizations with no native dependencies. The library handles edge routing as polylines with control points to avoid overlapping nodes, reduces edge crossings through heuristic node ordering within layers, and assigns final coordinates using a slack-based approach that respects minimum separation constraints. Graph structure and layout options are e

Este proyecto es un plugin de clustering de marcadores y herramienta de visualización de mapas para Leaflet. Funciona como una biblioteca de agrupación que organiza grandes conjuntos de datos de puntos geográficos en clusters para reducir el desorden visual y mejorar el rendimiento y la legibilidad del navegador. La biblioteca incluye un gestor de marcadores que organiza los puntos superpuestos en un diseño radial, asegurando que los marcadores individuales que comparten las mismas coordenadas permanezcan visualmente distintos y clicables. Proporciona capacidades para iconografía de grupo personalizada, vistas previas de límites geográficos para grupos de marcadores y ajustes automáticos de zoom para adaptarse a los límites de un cluster seleccionado. El sistema también maneja la gestión masiva de marcadores utilizando carga fragmentada para evitar que la interfaz del navegador se congele durante el procesamiento de grandes conjuntos de datos.