* [Cloudant] (https://cloudant.com/) - IBM noSQL database that supports spatial data (GeoJSON).
* [MondoDB] (https://www.mongodb.com/) - Also supports GeoJSON and spatial indexes.
* [DB2 Spatial Extender] (http://www-03.ibm.com/software/products/en/db2spaext) - Spatial Extender allows you to store, manage, and analyze spatial data in DB2.
* [TerrSet] (https://clarklabs.org/terrset/) - TerrSet (formerly IDRISI) is an integrated geographic information system (GIS) and remote sensing software
* [gvSIG] (http://www.gvsig.com/en) - Free and open source GIS.
* [GRASS GIS] (https://grass.osgeo.org/) - GRASS (Geographic Resources Analysis Support System) is a free and open source GIS.
* [ILWIS] (http://52north.org/communities/ilwis/ilwis-open) - Integrated Land and Water Information System (ILWIS) is a remote sensing and GIS software.
* [MapWindow GIS] (http://www.mapwindow.org/) - Free and open source desktop geographic information system.
* [Geoserver] (http://geoserver.org/) - WMS written in Java and relies on GeoTools. Allows users to share and edit geospatial data.
* [Mapserver] (http://mapserver.org/) - WMS written in C.
* [Mapnik] (http://mapnik.org/) - C++/Python/Node.js library for rendering.
* [MapGuide] (https://mapguide.osgeo.org/) - Runs on Linux or Windows, supports Apache and IIS web servers, and has APIs (PHP, .NET, Java, and JavaScript) for application development.
* [GAMMA] (http://www.gamma-rs.ch/no_cache/software.html) - Allows processing of SAR, interferometric SAR (InSAR) and differential interferometric SAR (DInSAR).
* [Sentinel Toolboxes] (https://sentinel.esa.int/web/sentinel/toolboxes) - Free open source toolboxes for the scientific exploitation of the Sentinel missions.
* [GeographicLib] (http://geographiclib.sourceforge.net/) - For solving geodesic problems. Works with (C, C++, Java, Javascript, Fortran, Matlab and Python).
* [Landsat-util] (https://github.com/developmentseed/landsat-util) - Landsat-util is a command line utility that makes it easy to search, download, and process Landsat imagery.
* [Rasterio] (https://github.com/mapbox/rasterio) - Rasterio employs GDAL under the hood for file I/O and raster formatting.
* [Rasterstats] (https://github.com/perrygeo/python-rasterstats/) - Python module for summarizing geospatial raster datasets based on vector geometries.
* [Pandas] (http://pandas.pydata.org/) - Open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
* [Shapely] (https://pypi.python.org/pypi/Shapely) - Manipulation and analysis of geometric objects in the Cartesian plane.
* [Cartopy] (http://scitools.org.uk/cartopy/) - A library providing cartographic tools for python for plotting spatial data.