Open-source alternatives to Django Countries

Django-Audiofield

An Erlang network service for manipulating geographic data

GeoCouch, a spatial index for CouchDB

Django-Spillway

Django Image Tools

A collection of GIS functions for Elixir

Google Distance Matrix API Library for Elixir

Python bindings and utilities for GeoJSON

Elixir coordinate conversion library using OSGeo's PROJ.4

Basic Go server for mbtiles

An Erlang implementation of the R*-tree spacial data structure

django-uuidfield

A CakePHP plugin to - geocode locations/ips and save the information (lat/lng) along with the records - reverse geocode data - querying geocoded data by distance (using custom finder) - display Google maps (dynamic and static) - display Leaflet maps (open-source alternative) - display static…

geocoding services for react native

django-bitfield

Django is a full-stack web framework designed for rapid backend development. It provides an integrated environment for building data-driven applications by combining an object-relational mapping layer for database management with a modular request-response pipeline for handling HTTP traffic. The framework emphasizes security and maintainability, offering a suite of tools to protect against common web vulnerabilities while decoupling site structure from implementation through a centralized URL routing system. A defining characteristic of the framework is its ability to generate production-read

django-macaddress

Money fields for Django forms and models.

django-rest-framework-gis

Native implementation of geofencing/region monitoring

Geohash encoding and decoding for Elixir.

golang wrapper for github.com/OSGEO/gdal

React Native Module to use Android Geolocation via Google Play API

GeoPandas is a Python library that extends pandas with native support for geospatial data. It treats geographic geometries—points, lines, and polygons—as a first-class column type within DataFrames, enabling users to store, manipulate, and analyze vector spatial data alongside traditional tabular attributes. The library is built on top of proven geospatial components: it uses Shapely for all geometric operations, Fiona and GDAL for reading and writing standard spatial file formats, PyProj for coordinate reprojection, and an R‑tree spatial index (from Shapely) to accelerate spatial queries. Wh

React Native module bridge to convert address to geo coordinates.