Open-source alternatives to Geolib

Shapely is a library for the manipulation and analysis of planar geometric objects, serving as a Python wrapper for the GEOS C++ engine. It provides a framework for calculating geometric properties, evaluating spatial relationships, and performing topological predicates within a Cartesian plane. The project distinguishes itself through a vectorized geometry processor capable of executing spatial operations across large arrays of shapes to increase throughput. It also includes a spatial indexing system based on R-trees to accelerate the retrieval of intersecting geometries and nearest neighbor

Shapely is a geometric analysis library for the manipulation and analysis of planar geometric objects. It functions as a computational geometry toolkit, a spatial predicate engine for evaluating topological relationships, and a vectorized geometry processor. The library distinguishes itself through a vectorized geometry processor capable of executing operations across coordinate arrays with multi-threaded parallel processing. It utilizes prepared geometry optimization to accelerate repeated containment and intersection tests and implements R-tree spatial indexing for efficient nearest-neighbo

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

Turf is a JavaScript and TypeScript geospatial analysis library and toolkit used for performing spatial analysis and geometric operations on GeoJSON data. It functions as a modular spatial engine that allows for the generation, manipulation, and classification of geographic datasets within web and node environments. The library provides a set of utility functions to programmatically create structured points, lines, and polygons. It enables the calculation of distances, areas, and geometric relationships between geographic coordinates, supporting both browser-based geospatial analysis and clie

Euclid.ts is a Typescript library for 2D geometry. It contains classes for elements like points, lines, circles, and polygons, intersection detection, as well as SVG and Canvas drawing tools. It was developed for Mathigon.org, an award-winning mathematics education project.

A 3D/WebGL math library

A really fast static spatial index for 2D points and rectangles in JavaScript.

Merge multiple GeoJSON files into one FeatureCollection.

geotoolbox is a javascript tool for geographers. It allows one to manage GeoJSON properties (attribute data) and provides several useful GIS operations for thematic cartography. The aim of geotoolbox is to offer functions designed to handle geoJSON directly, not just single features or…

Transform, query, and download geospatial data on the web.

RBush

Geometric.js is a JavaScript library for working with points, lines, polygons, and angles. It uses plain JavaScript arrays for geometry primitives, includes TypeScript declarations for editor autocomplete and type checking, and works in modern browsers and Node.js.

statsbreaks is a javascript package whose objective is to split (to classify/to discretize) a quantitative dataset into a (k) number of classes or thematic categories. The general aim is to create a choropleth map, for example with bertin.js.

GeoPackage JS is an implementation of the OGC GeoPackage spec. This library works in both the browser and Node 12+.

JavaScript library to transform coordinates from one coordinate system to another, including datum transformations

geotiff.js is a small library to parse TIFF files for visualization or analysis. It is written in pure JavaScript, and is usable in both the browser and node.js applications.

JavaScript Topology Suite

SpatiaLite 5.1.1-rc0 and friends - sqlite 3.51.1, geos 3.14.1, proj 9.7.1, rttopo 1.1.0 - for node (sync API) and browser (async API).

gdal3.js is a port of Gdal applications (gdaltranslate, ogr2ogr, gdalrasterize, gdalwarp, gdaltransform) to Webassembly. It allows you to convert raster and vector geospatial data to various formats and coordinate systems.

flatten-js is a javascript library for manipulating abstract geometrical shapes like point, vector, line, ray, segment, circle, arc and polygon. Shapes may be organized into Planar Set - searchable container which support spatial queries.

A compact binary encoding for geographic data.

A performant binary encoding for geographic data based on flatbuffers that can hold a collection of Simple Features including circular interpolations as defined by SQL-MM Part 3.

Blazing Fast JavaScript Raster Processing Engine

great circle routes in javascript

Lightweight Node.js isochrone map server

This project is a cross-platform mapping SDK and hardware-accelerated rendering engine implemented in C++. It provides a shared geospatial core that allows for the embedding of interactive maps into Android, iOS, macOS, Node.js, and Qt applications. The system focuses on high-performance vector tile rendering using OpenGL and GPU primitives to display interactive 3D landscapes and complex geospatial datasets. It transforms compressed protocol buffers into customizable visuals through a style-driven layer pipeline. The capability surface extends to comprehensive location services, including g

This is a collection of machine learning projects, data visualization portfolios, and predictive analytics tools. The repository provides implementation examples for training predictive models, executing data analysis pipelines, and estimating metadata values through historical statistical tables. The project emphasizes evolutionary computing, utilizing genetic algorithms and programming to solve optimization problems. This includes calculating the shortest distance between geographic coordinates and automating the selection of models and hyperparameters within machine learning pipelines. Ad