Projects sharing features with CloudCompare

The Point Cloud Library is a collection of C++ algorithms designed for filtering, registering, and analyzing large-scale 3D spatial datasets. It provides a framework for 3D point cloud processing, incorporating tools for spatial data filtering and geometric feature estimation. The library includes specialized systems for aligning multiple spatial datasets into a single unified coordinate system and a rendering engine for the visual inspection and analysis of processed point cloud data. It also features tools for calculating spatial descriptors to identify structural patterns and shapes within

OpenPCDet is a PyTorch deep learning library and toolbox for LiDAR 3D object detection. It functions as a point cloud processing framework designed to develop, train, and evaluate machine learning models that identify and locate objects in three dimensional space. The project includes a GPU-accelerated geometry engine for high-performance implementation of 3D intersection over union and rotated non-maximum suppression. It also provides a distributed model training tool to scale the training and testing of detection models across multiple GPUs and computing nodes. The framework covers point c

Kaolin is a PyTorch 3D deep learning library providing a comprehensive suite of tools for 3D geometry processing, physics simulation, data visualization, and gradient-based rendering for computer vision. The library includes a differentiable 3D renderer and a geometry processing toolkit for converting and transforming 3D representations such as meshes and point clouds. It also features a 3D physics simulation engine to calculate physical interactions and collisions between three-dimensional objects and scenes. The toolkit provides utilities for 3D data visualization, including the creation o

Entwine - point cloud organization for massive datasets

VeloView performs real-time visualization and easy processing of live captured 3D LiDAR data from Velodyne sensors (Alpha Prime™, Puck™, Ultra Puck™, Puck Hi-Res™, Alpha Puck™, Puck LITE™, HDL-32, HDL-64E). Runs on Windows, Linux and MacOS. This repository is a mirror of https://gitlab.kitware.com/LidarView/VeloView-Velodyne.

LidarView performs real-time reception, recording, visualization and processing of 3D LiDAR data. This repository is a mirror of https://gitlab.kitware.com/LidarView/lidarview.

Visualise your data in virtual reality with ImmersivePoints

Point cloud importer & renderer for Unity

A C++ & Python viewer for 3D data like meshes and point clouds

DGL is a Python library for building and training graph neural networks. It functions as a graph message passing framework and a geometric deep learning tool, enabling the development of models that analyze graph-structured data. The library is designed for large-scale graph processing, utilizing distributed training and neighbor sampling to handle datasets with billions of edges. It provides specialized support for heterogeneous graph modeling, allowing for the representation of complex real-world entities with multiple node and edge types. Its capabilities cover a wide range of graph tasks

Csvlens is a terminal-based tabular data explorer and memory-mapped browser designed for viewing and navigating large CSV files. It functions as a command-line interface for inspecting massive structured datasets while maintaining a constant memory footprint. The tool provides a text-based user interface for exploring data, featuring a custom layout engine that supports column resizing, line wrapping, and frozen headers. It includes a search mechanism to locate and visually highlight text patterns using regular expressions. Capabilities cover data manipulation through alphabetical or natural

f3d is a fast 3D model viewer and rendering engine designed for visualizing 3D meshes, CAD files, and point clouds. It operates across multiple deployment profiles, functioning as a lightweight desktop application, a scientific data visualizer for volumetric and scalar datasets, a headless rendering engine for automated image generation, and a WebAssembly-based renderer for web applications. The project distinguishes itself through specialized support for Gaussian Splatting scene reconstructions and the ability to visualize complex scientific formats such as VTK, NetCDF, and HDF. It features

Vaex is a high-performance Apache Arrow DataFrame library and out-of-core data processing engine designed to handle billion-row tabular datasets in Python. It functions as a lazy evaluation framework that defers computations and transformations until results are required, enabling the processing of datasets that exceed available system RAM by mapping files directly from disk. The project distinguishes itself as a tool for big data visualization and exploration, specifically integrated for use within interactive notebooks. It provides specialized capabilities for machine learning feature engin

SpatialLM is a spatial modeling framework that uses large language models to transform monocular video and sensor data into structured indoor semantic maps. It functions as a system for indoor layout estimation and a point cloud semantic parser, converting raw geometric data into representations of architectural elements and object categories. The project aligns multi-modal sensor inputs with linguistic tokens, allowing a language model to serve as a reasoning engine for inferring room topology. It employs mechanisms to convert 3D point clouds and 2D image sequences into discrete tokens and s

PointNet is a deep learning architecture designed to process and classify raw 3D point clouds directly without voxelization. It provides a system for 3D object classification, semantic segmentation frameworks for partitioning clouds into categories, and tools for visualizing 3D shapes. The project utilizes a transform network to align point clouds into a canonical coordinate space and employs symmetric-function-based aggregation to condense point-wise features into global vectors regardless of point order. It also features a multi-scale grouping architecture to extract hierarchical geometric

LMDB is an embedded key-value storage engine that provides ACID-compliant data persistence. It is a memory-mapped database that utilizes B+ trees to store key-value pairs, ensuring atomicity, consistency, isolation, and durability. The engine maps files directly into the virtual address space to minimize data copying and system calls. This approach enables high-performance local caching and low-latency data access, specifically optimizing for read-heavy database workflows. The system implements a transactional model with copy-on-write versioning and single-writer multi-reader locking. These

minecraft-weekend is a voxel engine designed for rendering infinite three-dimensional environments. It utilizes procedural generation and mathematical noise functions to automate the creation of diverse landscapes, biomes, and height variations. The engine implements a voxel rendering system using buffer-based meshes and chunk-based world partitioning to manage GPU performance and memory usage. It includes a dynamic lighting system that calculates light values, transparency, and distance-based fog to simulate atmospheric depth. The project covers 3D game physics simulation through axis-align

OpenSCAD is a script-based 3D modeler and parametric CAD tool that generates three-dimensional solid objects from programmable scripts. It utilizes a constructive solid geometry engine to create complex shapes by performing boolean operations on basic geometric primitives. The system functions as a compiler that transforms a functional language into geometric representations, allowing for precise dimensional control through variables and functions. It features a WebAssembly implementation that enables the geometry pipeline to execute directly within web browsers. The software covers a broad

VulkanTutorial is a comprehensive educational guide and instructional resource for implementing low-level rendering and compute pipelines using the Vulkan API. It serves as a GPU programming course and a step-by-step guide for building high-performance graphics applications from scratch. The project provides detailed instruction on the full graphics pipeline, including the compilation of shaders to SPIR-V bytecode, the configuration of rasterization states, and the implementation of 3D graphics pipelines. It also covers general-purpose GPU compute programming, focusing on the execution of par

webgl-fundamentals is a comprehensive educational resource and graphics tutorial for learning hardware-accelerated 2D and 3D rendering using the WebGL API. It serves as a structured 3D graphics curriculum and GPU programming reference, guiding users through the graphics pipeline from basic geometry to advanced rendering techniques. The project provides detailed guides on GLSL shader development, including the creation of vertex and fragment shaders. It specifically focuses on the implementation of real-time lighting models—such as directional, point, and spot lighting—and the application of s

Zag is a headless UI state machine library that provides unstyled component logic to ensure consistent behavior across different rendering engines. It functions as a toolkit for modeling complex user interface interactions using statecharts, decoupling the underlying logic and accessibility attributes from visual styling. The library is framework-agnostic, utilizing specialized adapters to bridge its state machine logic with various JavaScript libraries such as React, Solid, Vue, and Svelte. This approach allows developers to maintain a single interaction model while applying any CSS or styli

Tiptap is a headless rich text editor framework and extensible WYSIWYG framework designed for building custom text editors. It functions as a high-level wrapper around the ProseMirror toolkit, separating core editing logic and state management from the user interface. The framework enables real-time collaborative editing through a synchronization system using conflict-free replicated data types. It also supports the integration of AI content generation to provide automated suggestions and content refinement directly within the editor. The system utilizes a plugin-based extension architecture

TanStack Table is a headless, framework-agnostic engine designed for building complex data grids and managing tabular state. By decoupling data processing logic from the visual rendering layer, it allows developers to implement custom user interfaces while offloading sophisticated operations like sorting, filtering, grouping, and pagination to a unified, performant core. The library distinguishes itself through its commitment to type safety and environment flexibility. It leverages strict type definitions to ensure data integrity across the entire application and utilizes an adapter pattern t

Pixel is a 2D game library and graphics engine for the Go programming language. It provides a hardware-accelerated renderer for drawing sprites, geometric shapes, and text, utilizing an optimized system of batching and transformation matrices. The project functions as a comprehensive toolkit for two-dimensional interactive applications, combining a graphics engine with a 2D vector math library for affine transformations and coordinate space projections. It includes a dedicated input manager that tracks keyboard presses and mouse movements using a polling-based system rather than asynchronous

This project is a framework-agnostic library for building accessible, search-as-you-type interfaces. It provides a headless logic layer that decouples search state management and result filtering from the visual presentation, allowing developers to maintain full control over the underlying HTML structure and styling. The library distinguishes itself through a highly modular architecture that supports multi-source data aggregation, enabling the combination of results from static arrays, remote APIs, and external indices into a single interface. It features a flexible rendering engine that inte

This project is an educational resource and a collection of instructional materials for performing data manipulation and statistical analysis using Python. It provides a comprehensive set of guides and code examples for using the Pandas, NumPy, and Matplotlib libraries to analyze structured data. The resource includes a dedicated guide for reshaping, cleaning, and aggregating tabular data and time series via Pandas, alongside a reference for high-performance vectorized operations and linear algebra using NumPy. It also features tutorials for creating publication-quality charts, distribution p

Blockbench is a specialized low-poly 3D modeler and texture painter designed for creating models and pixel art textures. It functions as an extensible 3D editor that allows for the production of assets intended for game engines and rendering software. The editor is distinguished by its plugin-based architecture, which enables the development of custom scripts to automate design workflows and add specialized tools. It further integrates a texture painting system that applies pixel art directly onto 3D meshes to achieve a stylized aesthetic. The software covers high-quality 3D rendering for pr