Geospatial Libraries

12 Components & Libraries

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Geospatial Libraries

awesome-open-geoscience

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

Awesome software projects sub-categorized by focus. To the extent possible under law, all contributors have waived all copyright and related or neighboring rights to this work.

verde

Processing and gridding spatial data, machine-learning style

The first major release of Verde was focused on meeting most of these initial goals and establishing the look and feel of the library. Later releases will focus on expanding the range of gridders ava…

pygeoapi is a Python server implementation of the OGC API suite of standards. The project emerged as part of the next generation OGC API efforts in 2018 and provides the capability for organizations to deploy a RESTful OGC API endpoint using OpenAPI, GeoJSON, and HTML. pygeoapi is open source and released under an MIT license.

solaris

CosmiQ Works Geospatial Machine Learning Analysis Toolkit

The documentation is still being improved, so if a tutorial you need isn't there yet, check back soon or post an issue! If you're installing on a system with GPU access: Otherwise: Finally, regardles…

mapwidget

Custom Jupyter widgets for creating interactive 2D/3D maps using popular JavaScript libraries with bidirectional communication, such as Cesium, Mapbox, MapLibre, Leaflet, and OpenLayers

pycsw

pycsw is an OGC CSW server implementation written in Python. pycsw fully implements the OpenGIS Catalogue Service Implementation Specification [Catalogue Service for the Web]. Initial development started in 2010 (more formally announced in 2011). The project is certified OGC Compliant, and is an OGC Reference Implementation. pycsw allows for the publishing and discovery of geospatial metadata via numerous APIs (CSW 2/CSW 3, OpenSearch, OAI-PMH, SRU). Existing repositories of geospatial metadata can also be exposed, providing a standards-based metadata and catalogue component of spatial data infrastructures. pycsw is Open Source, released under an MIT license, and runs on all major platforms (Windows, Linux, Mac OS X). Please read the docs at https://pycsw.org/docs for more information.

pycsw allows for the publishing and discovery of geospatial metadata via numerous APIs (OGC API - Records, CSW 2/CSW 3, OpenSearch, OAI-PMH, SRU). Existing repositories of geospatial metadata can als…

srai

Spatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks

For future releases, we plan to add more functionalities, such as: The following optional dependencies can be installed to enable additional functionality: Regionalization is a process of dividing a …

pylandtemp

Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.

Additionally, it also provides multiple methods for computing land surface emissivity. It is targeted towards supporting research and science workflows in many fields including climate science, earth…

geospatial-ml

A Python package for installing commonly used packages for geospatial analysis and machine learning with only one command.

raster4ml

A geospatial raster processing library for machine learning

When geospatial raster data is concerned in a machine learning pipeline, it is often required to extract meaningful features, such as vegetation indices (e.g., NDVI, EVI, NDRE, etc.) or textures. Thi…

geospatial-ml

A Python package for installing commonly used packages for geospatial analysis and machine learning with only one command.

srai

Spatial Representations for Artificial Intelligence

For future releases, we plan to add more functionalities, such as: The following optional dependencies can be installed to enable additional functionality: Regionalization is a process of dividing a …

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Related tags

customer-segmentation

behaviour-analysis

hierarchical-forecasting

phase-stretch-transform

business-intelligence

user-trajectories-analysis

texture-analysis