The purpose of this library is to provide:

• An extensible framework that will support robust spatial indexing methods.

• Support for sophisticated spatial queries. Range, point location, nearest neighbor and k-nearest neighbor as well as parametric queries (defined by spatial constraints) should be easy to deploy and run.

• Easy to use interfaces for inserting, deleting and updating information.

• Wide variety of customization capabilities. Basic index and storage characteristics like the page size, node capacity, minimum fan-out, splitting algorithm, etc. should be easy to customize.

• Index persistence. Internal memory and external memory structures should be supported. Clustered and non-clustered indices should be easy to be persisted.

This package provides a Python bindings for H3, a hierarchical hexagonal geospatial indexing system

H3 is a geospatial indexing system using a hexagonal grid that can be (approximately) subdivided into finer and finer hexagonal grids, combining the benefits of a hexagonal grid with S2's hierarchical subdivisions.

Memphis is a map-rendering application and a library for OpenStreetMap written in C using eXpat, Cairo and GLib.

RTree is a Python package with bindings for libspatialindex.

GRASS (Geographic Resources Analysis Support System), is a Geographic Information System (GIS) software suite used for geospatial data management and analysis, image processing, graphics and maps production, spatial modeling, and visualization.

Command line tool for working with OpenStreetMap data based on the Osmium library.

GDAL is a translator library for raster and vector geospatial data formats. As a library, it presents a single raster abstract data model and single vector abstract data model to the calling application for all supported formats. It also comes with a variety of useful command line utilities for data translation and processing.

ecCodes is a package developed by ECMWF which provides an application programming interface and a set of tools for decoding and encoding messages in the WMO FM-92 GRIB, WMO FM-94 BUFR and WMO GTS abbreviated header formats.

This package provides units of measure as required by the Climate and Forecast (CF) metadata conventions. Provision of a wrapper class to support Unidata/UCAR UDUNITS-2 library, and the cftime calendar functionality.

Mapnik is a toolkit for developing mapping applications. It is basically a collection of geographic objects like maps, layers, datasources, features, and geometries. At its core is a C++ shared library providing algorithms and patterns for spatial data access and visualization. The library does not rely on any specific windowing system and can be deployed to any server environment. It is intended to play fair in a multi-threaded environment and is aimed primarily, but not exclusively, at web-based development.

Fiona is GDAL’s neat and nimble vector API for Python programmers. Fiona is designed to be simple and dependable. It focuses on reading and writing data in standard Python IO style and relies upon familiar Python types and protocols such as files, dictionaries, mappings, and iterators instead of classes specific to OGR. Fiona can read and write real-world data using multi-layered GIS formats and zipped virtual file systems and integrates readily with other Python GIS packages such as pyproj, Rtree, and Shapely.

OpenCPN is a chart plotter and marine navigation software designed to be used at the helm station of your boat while underway. Chart a course and track your position right from your laptop.

QMapShack can be used to plan your next outdoor trip or to visualize and archive all the GPS recordings of your past trips. It is the successor of the QLandkarte GT application.

This package provides functions to calculate the distance in various units between two points on Earth using their latitude and longitude.

The goal of GeoPandas is to make working with geospatial data in Python easier. It combines the capabilities of Pandas and Shapely, providing geospatial operations in Pandas and a high-level interface to multiple geometries to Shapely. GeoPandas enables you to easily do operations in Python that would otherwise require a spatial database such as PostGIS.

Verde is a Python library for processing spatial data (topography, point clouds, bathymetry, geophysics surveys, etc) and interpolating them on a 2D surface (i.e., gridding) with a hint of machine learning.

This is a python implementation of the geodesic routines in GeographicLib.

Routino is an application for finding a route between two points using the dataset of topographical information collected by https://www.OpenStreetMap.org.

Osm2pgsql is a tool for loading OpenStreetMap data into a PostgreSQL / PostGIS database suitable for applications like rendering into a map, geocoding with Nominatim, or general analysis.

Libosmium is a fast and flexible C++ library for working with OpenStreetMap data.

ObsPy is a project dedicated to provide a Python framework for processing seismological data. It provides parsers for common file formats, clients to access data centers and seismological signal processing routines which allow the manipulation of seismological time series.

The goal of the ObsPy project is to facilitate rapid application development for seismology.

Cartopy is a Python package designed to make drawing maps for data analysis and visualisation easy.

It features:

• object oriented projection definitions

• point, line, polygon and image transformations between projections

• integration to expose advanced mapping in Matplotlib with a simple and intuitive interface

• powerful vector data handling by integrating shapefile reading with Shapely capabilities

OpenOrienteering Mapper is a software for creating maps for the orienteering sport.