20 个仓库
Interfaces for retrieving data objects based on screen coordinates or spatial bounding boxes.
Distinct from Data Querying: Distinct from general data querying: focuses on spatial and coordinate-based retrieval for visual elements.
Explore 20 awesome GitHub repositories matching data & databases · Spatial Querying. Refine with filters or upvote what's useful.
This project is a comprehensive collection of common computer science algorithms and data structures implemented in Swift. It serves as an educational reference and library for studying computational complexity, algorithmic logic, and data structure engineering through practical code examples. The repository provides a wide suite of data structure implementations, including various types of linked lists, heaps, hash tables, and an extensive range of hierarchical trees such as Red-Black, B-Tree, and Splay trees. It also covers diverse sorting and searching techniques, from basic bubble sort to
A process for retrieving all points within a specific rectangular area by traversing a spatial tree.
ip2region is an offline IP geolocation library and framework designed to resolve IPv4 and IPv6 addresses to city-level regional information using local binary data files. It functions as a binary IP database compiler and a cross-language search client, allowing for regional lookups without relying on external APIs. The project distinguishes itself through a specialized binary format that supports high-performance query optimization. It employs adjacent-segment IP merging and deduplicated region storage to minimize the database footprint, while utilizing memory-mapped file caching and vector-i
Allows querying for the regional location of an IP address using a local binary data file.
This project is a declarative visualization library and geospatial framework designed for rendering large-scale data sets within web browsers. It functions as a high-performance graphics engine that leverages hardware acceleration to display complex 2D and 3D visual layers, enabling the visualization of millions of data points through a structured, component-based syntax. The framework distinguishes itself through its ability to synchronize custom data visualizations with third-party mapping platforms. By managing camera states and coordinate systems, it allows developers to overlay high-perf
Enables retrieval of rendered objects at specific screen coordinates or within spatial bounding boxes.
Mapbox GL JS 是一个 WebGL 地图渲染引擎和交互式 Web 地图框架,用于在浏览器中渲染矢量切片、栅格影像和 3D 地形。它作为一个矢量切片地图库和地理空间数据可视化工具,利用 GPU 加速的着色器将地理空间数据转换为交互式地图。 该项目通过将自定义 WebGL 图层直接集成到渲染管道中,以及使用数据驱动的表达式将要素属性映射到视觉属性,从而脱颖而出。它支持通过 PMTiles 进行专门的数据加载,并通过本地包和数据库提供离线地图管理。 该引擎涵盖了广泛的功能,包括带有光照和阴影的 3D 地形和建筑渲染、实时用户位置跟踪以及程序化相机动画。它提供用于要素检索的空间查询、动态过滤,以及用于 HTML 标记和信息弹窗的 UI 系统。 该库包含用于生成满足 Web Worker 内容安全策略 (Content Security Policy) 限制的包的构建配置。
Retrieves styled rendered features or raw source features at specific screen coordinates or within bounding boxes.
phpredis is a C-based native extension that bridges PHP applications with Redis servers for high-performance data storage and retrieval. It serves as an interface for manipulating strings, hashes, lists, sets, and sorted sets while providing a direct path for executing Redis commands and server-side scripts. The extension provides comprehensive support for distributed environments and high availability. It interfaces with Redis Cluster to distribute data across multiple nodes using hash slots and manages Redis Sentinel for service discovery and automatic failover. It also enables shared state
Provides interfaces for retrieving data based on geographic coordinates through Redis geospatial commands.
SQLite 是一个无服务器的关系型数据库引擎和 C 语言库,将数据存储在单个本地磁盘文件中。它作为嵌入式 SQL 数据库运行,直接集成到应用程序中,无需单独的服务器进程。 该引擎包含用于全文搜索索引和使用 R-Tree 结构进行空间数据查询的专门功能,适用于地理或几何坐标范围。 该系统提供了对 SQL 数据操作、数据库恢复与修复以及用于在数据库间同步修改的变更追踪的广泛支持。它还具有用于数据库管理和配置的终端界面。
Enables the retrieval of data objects based on spatial bounding boxes and coordinates.
Tile38 is an in-memory geospatial database that uses the Redis protocol for communication and query execution. It serves as a distributed spatial store for points and polygons, featuring high availability through leader-follower replication and disk-based persistence. The system includes a real-time geofencing engine that monitors virtual geographic boundaries and triggers webhooks when objects enter or exit specified areas. It further distinguishes itself with an embedded Lua scripting engine for server-side data transformations and a built-in vector tile server for efficient map visualizati
Provides advanced spatial querying including proximity searches, containment checks, and k-nearest neighbor retrieval.
RecastNavigation is a navigation mesh toolset and game AI pathfinding library used to generate and query walkable surfaces in 3D environments. It functions as a runtime navigation mesh generator and spatial query library, transforming raw 3D geometry into simplified surfaces to enable AI movement. The project includes a crowd simulation engine that manages steering and collision avoidance for large numbers of agents. It provides capabilities for group movement coordination and the simulation of many agents simultaneously using scalable navigation techniques. The system covers mesh generation
Includes utilities for analyzing geometric relationships and finding valid walkable areas in 3D scenes.
Warp is a Python framework that JIT-compiles Python functions into CUDA kernels for GPU-accelerated parallel computation, with built-in automatic differentiation and multi-framework array interoperability. At its core, it provides a GPU kernel compilation system that enables writing and executing custom GPU kernels directly from Python, while supporting automatic gradient computation through those kernels for integration with machine learning pipelines. The framework also includes tile-based cooperative computing, where thread blocks partition into tiles for shared-memory and tensor-core opera
Finds closest points, intersections, and ray hits on meshes and bounding volume hierarchies.
Pinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It functions as a real-time OLAP datastore, enabling interactive, user-facing analytics by ingesting and querying massive datasets from both streaming and batch sources. The system architecture relies on a centralized controller for cluster coordination and a distributed segment-based storage model to ensure horizontal scalability. The platform distinguishes itself through a hybrid ingestion pipeline that unifies real-time event streams and historical batch data into a single quer
Processes spatial data types like points and polygons using standard geometric functions to analyze geographic relationships.
H3 is an open-source library that provides a hierarchical hexagonal grid system for geospatial indexing. It projects the Earth onto an icosahedron and tiles each face with hexagons to minimize distortion, then encodes each hexagon as a 64-bit integer that stores its resolution and position in the hierarchy. This integer encoding enables fast bitwise operations for grid navigation and spatial analysis. The library offers a comprehensive set of grid topology algorithms for computing neighbor relationships, distances, and paths between cells directly on the hexagonal grid without geographic coor
Computes adjacency, containment, and distance between hexagon cells for spatial analysis.
Valhalla is an open-source routing engine that calculates optimal paths and travel times using OpenStreetMap data. It is built around a tiled routing graph framework, allowing map data to be organized into small geographic tiles for efficient regional updates and offline routing capability. The project distinguishes itself through a multimodal routing server that combines automobile, pedestrian, bicycle, and public transit modes into single journeys. It includes a GPS trace matching engine to align noisy coordinates to the most probable road network paths and an isochrone and matrix generator
Retrieves graph tile identifiers and coordinates based on bounding boxes or specific points.
GeoPandas 是一个 Python 库,通过对地理空间数据的原生支持扩展了 pandas。它将地理几何图形(点、线和多边形)视为 DataFrame 中的一等列类型,使用户能够将矢量空间数据与传统的表格属性一起存储、操作和分析。该库构建在成熟的地理空间组件之上:它使用 Shapely 进行所有几何运算,使用 Fiona 和 GDAL 读取和写入标准空间文件格式,使用 PyProj 进行坐标重投影,并使用 R-tree 空间索引(来自 Shapely)来加速空间查询。 GeoPandas 的独特之处在于它将完整的空间分析工作流无缝集成到了 pandas 生态系统中。用户可以执行坐标参考系统转换以对齐不同投影的数据,计算面积和长度等几何属性,生成缓冲区和质心,并进行交集和并集等集合运算。该库还支持基于位置的过滤、基于几何关系合并数据集的空间连接,以及产生聚合结果的叠加分析。在探索方面,它提供了地图可视化功能,可直接从空间表生成静态图表和交互式地图。 除了这些核心差异外,GeoPandas 还处理地理数据的全生命周期:从 Shapefile、GeoJSON 和 GeoPackage 等常见格式导入和导出;管理将几何图形与属性列链接的空间表;以及按位置、属性条件或空间谓词查询或过滤要素。其文档涵盖了安装、全面的 API 参考以及引导用户完成常见地理空间任务的用户指南。
Selects subsets of spatial data using location, attribute conditions, or spatial relationships.
cannon.js 是一个 JavaScript 3D 物理引擎,旨在计算三维空间中的刚体动力学和碰撞。它作为一个刚体动力学引擎,对质量、摩擦力和速度进行建模以确定物体运动,同时为应用物理约束和关节提供了数学框架。 该引擎支持多种碰撞体积,包括球体、盒子、凸多面体、用于地形模拟的高度场以及复杂的三角形网格。它提供了用于识别这些形状之间交集并计算物理交互接触精确区域的工具。 该系统涵盖了广泛的模拟功能,包括用于计算网格属性的几何分析、应用物理约束以创建机械装配,以及将物理模拟数据与外部 3D 网格同步以进行可视化。
Provides utilities to query mesh elements by transforming local vertices into world space coordinates.
H2 是一个用 Java 编写的 JDBC 兼容关系型数据库管理系统。它作为一个可嵌入的 SQL 数据库,可以直接在应用程序进程内运行以消除网络延迟,或者作为内存数据库用于高性能的易失性存储。它还包含一个基于 Web 的控制台,用于执行 SQL 命令和管理模式。 该系统的特点是其灵活的部署模式,包括用于远程 TCP/IP 访问的独立服务器模式,以及用于同时进行本地和远程连接的混合模式。它具有方言模拟层和兼容模式,允许其模仿其他数据库系统的行为和语法。 该引擎提供了一套广泛的功能,涵盖具有多版本并发控制(MVCC)的 ACID 事务、地理空间和 JSON 数据支持,以及高级分析窗口函数。它包括通过压缩备份、SQL 脚本恢复和堆外内存管理来处理大数据集的数据保护工具。 该数据库使用标准的 Java 数据库连接驱动程序和连接 URL 与应用程序集成。
Provides support for coordinate-based data structures and geometry objects using OGC formats.
maptalks.js 是一个 JavaScript 地图渲染库和 Web 地图交互框架,用于在 Web 画布上渲染交互式 2D 和 3D 地理数据。它作为一个支持 3DTiles 和 GLTF 格式的 3D 地理空间引擎、GeoJSON 可视化工具和空间分析库。 该项目通过高性能渲染和动态地理空间动画脱颖而出,包括模拟交通流和为地图元素执行平滑视觉过渡的能力。它提供了用于交互式几何编辑的全面工具,允许用户直接在地图上绘制和修改矢量形状、圆形和贝塞尔曲线。 该库涵盖了广泛的能力,包括用于计算距离和面积的地理空间数据分析、坐标系转换和复杂的图层管理。它包括一个广泛的用户界面套件,带有信息窗口、上下文菜单和自定义地图控制面板。 数据集成通过 GeoJSON 工作流、远程资源获取以及将地图状态和几何图形导出为 JSON 的序列化工具进行处理。
Provides interfaces for retrieving geometric data objects based on spatial bounding boxes or screen coordinates.
Memgraph is an in-memory, distributed graph database designed for high-performance labeled property graph management. It utilizes a Cypher query engine for declarative data retrieval and manipulation, providing a scalable knowledge graph backend that integrates vector search and graph traversals. The system distinguishes itself as a real-time graph analytics platform, employing native C++ and CUDA implementations to execute complex network analysis and dynamic community detection on streaming data. It provides specialized support for AI integration, including GraphRAG capabilities, the constr
The product creates coordinate points and calculates distances or bounding box containment.
RavenDB is a multi-model NoSQL document database designed for high-performance, ACID-compliant data storage. It persists structured information as schema-flexible JSON documents and utilizes a unit-of-work session pattern to track entity changes and batch modifications into atomic transactions. The platform is built on a distributed architecture that supports horizontal scaling through sharding and ensures high availability via multi-node, master-to-master cluster replication. The database distinguishes itself through a self-optimizing query engine that automatically creates and maintains ind
Supports spatial filtering and retrieval using radius searches, polygons, and coordinate-based lookups.
This project is a PHP SQL REST API generator and database API wrapper that automatically transforms SQL database tables into a functional web interface. It serves as a lightweight layer that maps HTTP methods to SQL commands, allowing for the creation, reading, updating, and deletion of records without writing manual endpoint code. The tool distinguishes itself by providing a dedicated spatial data API gateway for querying and exporting geometry columns using GeoJSON and WKT standards. It also functions as a multi-tenant data API, capable of isolating records for different users through share
Provides spatial querying capabilities to filter geometry columns using WKT and GeoJSON standards.
Spring Data Elasticsearch is a data access library that maps Java objects to Elasticsearch indices. It functions as an object mapper, a repository abstraction, and a query DSL wrapper, providing both a standard and a reactive client for executing asynchronous search and persistence operations. The project distinguishes itself by automating data access through repository interfaces, which generate query logic based on method naming conventions. It enables the construction of complex search queries using a domain-specific language and supports advanced search capabilities such as vector similar
Maps location-based types and geometries to Elasticsearch representations using standard geospatial specifications.