Search Results for "3d graph"
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Showing 138 open source projects for "3d graph"
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3D Force-Directed Graph
3D force-directed graph component using ThreeJS/WebGL
3D Force-Directed Graph is a web component for visualizing graph data in an interactive three-dimensional environment. It uses Three.js and WebGL for rendering while force simulation engines calculate node positions dynamically. Developers can customize nodes, links, labels, geometry, colors, directional arrows, particles, and other visual properties. -
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React Force Graph
React component for 2D, 3D, VR and AR force directed graphs
React Force Graph is a collection of React components for displaying force-directed graph data across 2D, 3D, virtual reality, and augmented reality environments. It provides separate packages with consistent APIs for each visualization mode. Canvas and WebGL rendering are combined with force-based physics for dynamic graph layouts. Users can zoom, pan, drag nodes, and respond to hover or click interactions. -
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OGRE-Next 3D
aka ogre v2 - scene-oriented, flexible 3D C++ engine
OGRE-Next is the next-generation iteration of the OGRE (Object-Oriented Graphics Rendering Engine), a powerful open-source 3D rendering engine designed for real-time applications, games, simulations, and visualizations. It focuses on high-performance rendering pipelines, especially Vulkan and modern OpenGL, offering tools for photorealistic and stylized rendering. OGRE-Next is modular and flexible, providing a developer-friendly environment with scene management, lighting, shadowing, and... -
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rtabmap
RTAB-Map library and standalone application
...A memory management approach is used to limit the number of locations used for loop closure detection and graph optimization so that real-time constraints on large-scale environments are always respected. RTAB-Map can be used alone with a handheld Kinect, a stereo camera or a 3D lidar for 6DoF mapping, or on a robot equipped with a laser rangefinder for 3DoF mapping. -
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Trial
A modular Common Lisp game engine
Trial is a real-time, 3D game engine written in Common Lisp, offering a modern and modular approach to game development using the expressive power of Lisp. Built on top of the cepl graphics framework, Trial combines live-coding capabilities with powerful abstractions for building simulations, scenes, and interactive applications. It emphasizes flexibility, clarity, and developer control, making it an appealing choice for experimental games, visualizations, and research projects that benefit... -
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lidarslam_ros2
ROS 2 package of 3D lidar slam using ndt/gicp registration
ROS 2 package of 3D lidar slam using ndt/gicp registration and pose-optimization. ros2 slam package of the frontend using OpenMP-boosted gicp/ndt scan matching and the backend using graph-based slam. -
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SynaBun
Persistent vector memory for AI assistants
...The system integrates tightly with developer workflows by running alongside tools like Claude Code, enabling automatic memory capture, retrieval, and contextual augmentation through lifecycle hooks and commands. One of its defining characteristics is its Neural Interface, a browser-based 3D visualization that represents stored memories as nodes in an interactive graph, allowing users to explore relationships, edit entries, and manage knowledge visually. -
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Thunder Engine
Cross-platform 2D and 3D game engine with modular architecture
Thunder is a lightweight, modular game engine written in C++ that provides a robust foundation for creating 2D and 3D games across platforms. It emphasizes a clean, component-based architecture and is designed for flexibility, performance, and scalability. Thunder includes built-in support for scripting, resource management, physics, animation, and rendering, with tools that facilitate efficient game development and deployment. Its cross-platform nature and minimal dependencies make it... -
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react-native-filament
A real-time physically based 3D rendering engine for React Native
react-native-filament is a React Native wrapper for Google's Filament real-time physically-based rendering engine, enabling mobile developers to render high-quality 3D scenes within React Native applications. This library acts as a bridge between JavaScript and the powerful Filament engine through native modules, giving React Native apps access to modern rendering capabilities like PBR materials, image-based lighting, and dynamic shadows. Designed for both iOS and Android, it opens the door... -
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PyG
Graph Neural Network Library for PyTorch
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data. It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support, distributed graph learning via Quiver, a large number of common benchmark datasets (based on simple interfaces to create your own), the GraphGym experiment manager, and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. ... -
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miniaudio
Audio playback and capture library written in C,
miniaudio is written in C with no dependencies except the standard library and should compile cleanly on all major compilers without the need to install any additional development packages. All major desktop and mobile platforms are supported. miniaudio gives you complete flexibility. With the low-level API, just initialize a connection to the device and send or receive raw audio data. The modular design of miniaudio allows you to use the low-level API without compromising your ability to... -
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Fyrox
3D and 2D game engine written in Rust
...The engine comes with an editor, Fyroxed (Fyrox + editor) is a native scene editor for the Fyrox Game Engine. High-quality volumetric lighting (directional, point, spot) with soft shadows. PC (Windows, Linux, macOS) and Web (WebAssembly) support. First-class 3D and 2D support + ability to mix 3D with 2D. Deferred shading, use tons of lights with small overhead. Built-in save/load, save or load entire state of the engine in one call. Full-featured scene graph with various nodes (pivot, camera, mesh, light, particle system, sprite). High-quality binaural sound with Head-Related Transfer Function (HRTF) support. ... -
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Axmol Engine
Multi-platform Engine for Desktop, XBOX (UWP) and Mobile games
Axmol is a modern C++ game engine forked from Cocos2d-x, designed to support high-performance 2D and lightweight 3D game development across multiple platforms. It improves upon the original Cocos2d-x with a cleaner architecture, better tooling, and support for modern C++ standards. Axmol supports scripting with Lua and JavaScript, and is suitable for both indie developers and studios targeting mobile, desktop, and web platforms. With an active community and frequent updates, Axmol is a solid... -
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GitHub Isometric Contributions extension
Browser extension for rendering isometric pixel art charts
This is a browser extension for Chrome/Brave and Firefox that lets you toggle between your regular GitHub contribution chart and an isometric pixel art version. It uses obelisk.js for isometric graphics. Besides being sort of neat looking, this view is interesting in that it highlights the differences between the number of contributions with more granularity. This isn't meant to completely replace the standard 2D graph though, because in most ways it is actually less useful. For example,... -
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PyTorch Geometric
Geometric deep learning extension library for PyTorch
It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of an easy-to-use mini-batch loader for many small and single giant graphs, a large number of common benchmark datasets (based on simple interfaces to create your own), and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. We have outsourced a lot of... -
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comfyui-mixlab-nodes
Workflow and speech recognition app
comfyui-mixlab-nodes is a large collection of custom nodes for ComfyUI that turns workflows into interactive apps and adds real-time multimedia, LLM, and TTS capabilities. It introduces a “Workflow-to-APP” concept, where a ComfyUI graph can be transformed into a Web App through an AppInfo node, complete with categories, batch prompts, and editable configurations. The project also brings Real-time Design features like screen capture and floating video nodes, enabling creative pipelines that... -
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The Chemistry Development Kit (CDK) is a scientific, LGPL-ed library for bio- and cheminformatics and computational chemistry written in Java. The main home page of the CDK is now at: http://cdk.github.io
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WingSegment
WingSegment: A tool for Analysis and Modeling of Insect Wings
WingSegment is a MATLAB app-designed tool employing a hybrid approach of computer vision and graph theory for precise insect wing image segmentation. WingSegment detects cells, junctions, Pterostigma, and venation patterns, measuring geometric features and generating Voronoi patterns. The tool utilizes region-growing, thinning, and Dijkstra's algorithms for boundary detection, junction identification, and vein path extraction. -
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CMDBuild -Platform for Asset Management
Environment for configuring customized applications Asset Management
CMDBuild is the open source web environment for the configuration of custom applications for the Asset Management. With CMDBuild you can build and extend your own CMDB, modeling it according to the needs of your Organization. You can configure workflows, reports, dashboards, schedule operations and checks, manage documents, georeference your asset in maps or view them in 3D models. You can also interoperate with external solutions through webservices. Or you can choose one of the... -
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calculatorpp
Calculator++
...This algorithm support: + built-in operator + built-in functions + run-time functions and variables definition + run-time units system, units with prefix + constants definition + Pretty mathematical expressions - Process ascii files (dev) - vector and matrix (dev) - graph 2D and 3D (dev) - vector graph (dev) - symbolic calculate (dev) - Animations (dev) -
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OpenSCAD Graph Editor
OpenSCAD Graph Editor
OpenSCAD Graph Editor is a graphical user interface for OpenSCAD that allows you to create 3D models by connecting nodes in a graph. The editor will automatically generate OpenSCAD code for you. It integrates with the OpenSCAD program so you can preview your models in real-time while you are editing the graph. Please check the manual to find out how to install and use the program. -
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Path Finder for Processing
2D/3D Path finding library
V1.0 is compatible with Processing 2 & 3 This library provides a set of classes to define a graph comprising of nodes and edges. Then allow the user to select from 4 different algorithms (Depth First, Breadth First, Dijkstra, A*) to find a path through the graph. Although suitable for games it can be used in a wide range of problems involving networks. Although the download is packaged as a Processing library the actual code has no dependencies on Processing except the examples. To use... -
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hloc
Visual localization made easy with hloc
...We show in pipeline_SfM.ipynb how to run 3D reconstruction for an unordered set of images. This generates reference poses, and a nice sparse 3D model suitable for localization with the same pipeline as Aachen. -
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Floyd is a collection of 3D libraries, mathematics and scene libraries and utilities. The main parts of it are geometry library Elea, OpenGL scene graph library Miletos and posing application Khayyam.
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DIG
A library for graph deep learning research
The key difference with current graph deep learning libraries, such as PyTorch Geometric (PyG) and Deep Graph Library (DGL), is that, while PyG and DGL support basic graph deep learning operations, DIG provides a unified testbed for higher level, research-oriented graph deep learning tasks, such as graph generation, self-supervised learning, explainability, 3D graphs, and graph out-of-distribution.
