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This is a list of free and open-source software (FOSS) packages, computer software licensed under free software licenses and open-source licenses. Software that fits the Free Software Definition may be more appropriately called free software ; the GNU project in particular objects to their works being referred to as open-source . [ 1 ]
Geoparsing handles ambiguous references in unstructured discourse, such as "Al Hamra," which is the name of several places, including towns in both Syria and Yemen. A geoparser is a piece of software or a (web) service that helps in this process. Some examples: GEOLocate automated georeferencing; BioGeomancer – Semi-automatic georeferencing
ERDAS IMAGINE incorporates geospatial image processing and analysis, remote sensing, and GIS capabilities into a single powerful, convenient package. ERDAS IMAGINE enables users to easily create value-added products such as 2D and 3D images, 3D fly-through movies, and cartographic-quality map compositions from geospatial data.
Free and open-source software portal; This is an incomplete list of software that are licensed under the GNU Affero General Public License, in alphabetical order. Akvo platform - data platform for Sustainable Development Goals and international development tracking
Protocol Buffers (Protobuf) is a free and open-source cross-platform data format used to serialize structured data. It is useful in developing programs that communicate with each other over a network or for storing data.
HBase: Apache HBase software is the Hadoop database. Think of it as a distributed, scalable, big data store; Helix: a cluster management framework for partitioned and replicated distributed resources; Hive: the Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
SU2 is free and open source software, released under the GNU General Public License version 3 (SU2 v1.0 and v2.0) and GNU Lesser General Public License version 2.1 (SU2 v2.0.7 and later versions). [7]
Data is typically distinguished in spatial data and time-series data, the former can be things like images, maps, graphs, etc. the latter can be e.g. stock-price or a voice recording. Document AI combines text data, which has a time dimension, with other types of data, such as the position of an address in a business letter, which is spatial.