This project contains a few tools which are used in the OpenStreetMap project. They can be used to convert, filter and update OpenStreetMap data files.

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.

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.

QGIS is an easy to use Geographical Information System (GIS). It is a GIS data viewer and editor. QGIS supports a number of raster and vector data formats, with new support easily added using the plugin architecture.

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.

Mepo is a fast, simple, and hackable OSM map viewer for desktop and mobile Linux devices. It supports Wayland and X Windows.

Mepo works both offline and online, features a minimalist both touch/mouse and keyboard compatible interface, and offers a simple and powerful JSON API to allow the user to change and add functionality such as adding their own search and routing scripts, adding arbitrary buttons/keybindings to the UI, and more.

The SPLAT (Signal Propagation, Loss, And Terrain) program can use the Longley-Rice path loss and coverage prediction using the Irregular Terrain Model to predict the behaviour and reliability of radio links, and to predict path loss.

Libaec provides fast lossless compression of 1 up to 32 bit wide signed or unsigned integers (samples). The library achieves best results for low entropy data as often encountered in space imaging instrument data or numerical model output from weather or climate simulations. While floating point representations are not directly supported, they can also be efficiently coded by grouping exponents and mantissa.

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.

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.

This package provides a Python interface to PROJ, a cartographic projections and coordinate transformations library.

Python version of geopack and Tsyganenko models, compatible with geopack05 and geopack08.

Tegola is a free vector tile server written in Go. Tegola takes geospatial data and slices it into vector tiles that can be efficiently delivered to any client.

RTree is a Python package with bindings for libspatialindex.

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.

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.

GPlates is a plate tectonics program. Manipulate reconstructions of geological and paleogeographic features through geological time. Interactively visualize vector, raster and volume data.

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.

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.

MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.

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

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.

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.

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.