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.

Imposm is an importer for OpenStreetMap data. It reads PBF files and imports the data into PostgreSQL/PostGIS databases. It is designed to create databases that are optimized for rendering/tile/map-services.

ReadOSM is a library to extract valid data from within an OpenStreetMap input file (in .osm or .osm.pbf format).

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.

SAGA (System for Automated Geoscientific Analyses) is a Geographic Information System (GIS) software. It has been designed for an easy and effective implementation of spatial algorithms and it offers a comprehensive, growing set of geoscientific methods.

OSMnx is a Python library that lets you download geospatial data from OpenStreetMap and model, project, visualize, and analyze real-world street networks and any other geospatial geometries. You can download and model walkable, drivable, or bikeable urban networks with a single line of Python code then easily analyze and visualize them. You can just as easily download and work with other infrastructure types, amenities/points of interest, building footprints, elevation data, street bearings/orientations, and speed/travel time.

PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL. This package provides a PostgreSQL extension.

Provides an API for the GeoIP2 web services and databases. The API also works with MaxMind’s free GeoLite2 databases.

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.

GNOME Maps is a graphical map viewer. It uses map data from the OpenStreetMap project. It can provide directions for walking, bicycling, and driving.

MaxMind DB is a binary file format that stores data indexed by IP address subnets (IPv4 or IPv6). This is a Python module for reading MaxMind DB files.

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

The libmaxminddb library provides a C library for reading MaxMind DB files, including the GeoIP2 databases from MaxMind. The MaxMind DB format is a custom, but open, binary format designed to facilitate fast lookups of IP addresses while allowing flexibility in the type of data associated with an address.

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

GeoIP2Fast is a fast GeoIP2 country/city/asn lookup library that supports IPv4 and IPv6. A search takes less than 0.00003 seconds. It has its own data file updated twice a week with Maxmind-Geolite2-CSV, supports IPv4/IPv6 and is pure Python.

CloudCompare is a 3D point cloud (and triangular mesh) processing software. It was originally designed to perform comparison between two 3D point clouds (such as the ones obtained with a laser scanner) or between a point cloud and a triangular mesh. It relies on an octree structure that is highly optimized for this particular use-case. It is also meant to deal with huge point clouds.

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.

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.

PDAL is a C++ library for translating and manipulating point cloud data. It is very much like the GDAL library which handles raster and vector data.

OpenGeoSys (OGS) is a scientific open source project for the development of numerical methods for the simulation of thermo-hydro-mechanical-chemical (THMC) processes in porous and fractured media. OGS is implemented in C++, it is object-oriented with an focus on the numerical solution of coupled multi-field problems (multi-physics). Parallel versions of OGS are available relying on both MPI and OpenMP concepts. Application areas of OGS are currently CO2 sequestration, geothermal energy, water resources management, hydrology and waste deposition.

Navit is a car navigation system with a routing engine.

It is meant to work with touchscreen devices, but it also works without a touchscreen. It also supports text to speech.

It can be configured extensively through its own configuration file format. For instance we can configure the graphical interface, and which map data is to be displayed at which zoom level.

It supports different routing profiles: bike, car, car_avoid_toll, car_pedantic, car_shortest, horse, pedestrian, truck.

It can use gpsd or NMEA GPS directly to get position data. It also works without GPS: in this case users can also enter position data directly.

It can also be used to log GPS data to files using the GPX or NMEA formats, or to replay NMEA data.

For maps, it can uses its own "binfile" map format, or Garmin map file format, and data from OpenStreetMap, Garmin maps, Marco Polo Grosser Reiseplaner, Routeplaner Europa 2007, Map + Route.

The Python Shapefile Library (PyShp) reads and writes ESRI Shapefiles.

Facilitates mapping by making natural earth map data from http:// www.naturalearthdata.com/ more easily available to R users. Focuses on vector data.