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 is a React data visualization library and declarative charting framework used to create composable graphical representations. It provides a system for rendering complex visualizations by composing simple building blocks into larger chart structures. The library includes specialized tools for hierarchical data mapping via sunburst diagrams and tree maps, as well as flow and relationship visualization using Sankey diagrams. It also provides a multivariate data visualizer for plotting high-dimensional data through parallel coordinates, radar charts, and radial visualizations. The fram

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

هذا المشروع عبارة عن إضافة لتجميع العلامات (marker clustering) وأداة لتصور الخرائط لـ Leaflet. يعمل كمكتبة تجميع تنظم مجموعات كبيرة من النقاط الجغرافية في عناقيد لتقليل الفوضى البصرية وتحسين أداء المتصفح وقابلية القراءة. تتضمن المكتبة مديراً للعلامات يرتب النقاط المتداخلة في تخطيط شعاعي، مما يضمن بقاء العلامات الفردية التي تشترك في نفس الإحداثيات متميزة بصرياً وقابلة للنقر. يوفر قدرات لأيقونات المجموعات المخصصة، ومعاينات الحدود الجغرافية لمجموعات العلامات، وتعديلات التكبير التلقائية لتناسب حدود العنقود المحدد. يتعامل النظام أيضاً مع إدارة العلامات المجمعة باستخدام التحميل المجزأ لمنع واجهة المتصفح من التجمد أثناء معالجة مجموعات البيانات الكبيرة.