Geo-related tools PHP 7.3+ library built atop Geocoder and React libraries
- php
- geolocation
- geotools
- geo
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Geo-related tools PHP 7.3+ library built atop Geocoder and React libraries
🗺 High Quality GeoJSON maps programmatically generated.
Train a deep learning net with OpenStreetMap features and satellite imagery.
Earth observation processing framework for machine learning in Python
Fiona reads and writes geographic data files
Store and access data published by OwnTracks apps
Python package for earth-observing satellite data processing
GRASS - free and open-source geospatial processing engine
Self-hosted outdoor activity tracker :bicyclist: [mirror of codeberg repository: https://codeberg.org/FitTrackee/FitTrackee]
A repository of geographic regions for Ruby
This library reads and writes ESRI Shapefiles in pure Python.
Types and utilities for working with 2d geometry in Golang
Geographic projections, spherical shapes and spherical trigonometry.
🗺 OpenStreetMap 3D renderer powered by WebGL2
efficient tools for LiDAR processing
Python bindings and utilities for GeoJSON
Bidirectional URI routing
A version of RTKLIB optimized for low cost GNSS receivers, especially u-blox receivers. It is based on RTKLIB 2.4.3. This software is provided “AS IS” without any warranties of any kind so please be careful, especially if using it in any kind of real-time application. Click on the "Releases" label below to see the latest Windows pre-release.
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
Canonical common brand names, operators, transit, and flags for OpenStreetMap.
Collection of georeferenced boundaries of world countries and cultural regions for use in mapping historical data on global or continental scale
WhirlyGlobe Development
Contours des régions, départements, arrondissements, cantons et communes de France (métropole et départements d'outre-mer) au format GeoJSON
Neo4j Spatial is a library of utilities for Neo4j that faciliates the enabling of spatial operations on data. In particular you can add spatial indexes to already located data, and perform spatial operations on the data like searching for data within specified regions or within a specified distance of a point of interest.