Spatial Libraries

23 Components & Libraries

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Spatial Libraries

Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.

Mesa allows users to quickly create agent-based models using built-in core components (such as spatial grids and agent schedulers) or customized implementations; visualize them using a browser-based …

Multiplatform plotting library based on the Grammar of Graphics

This grammar [...] is made up of a set of independent components that can be composed in many different ways. This makes [it] very powerful because you are not limited to a set of pre-specified graph…

GeoNode is an open source platform that facilitates the creation, sharing, and collaborative use of geospatial data.

GeoNode is a geospatial content management system, a platform for the management and publication of geospatial data. It brings together mature and stable open-source software projects under a consist…

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.

Raster-based Spatial Analytics for Python

📍 Fast, Accurate Python library for Raster Operations 🎊 Free of GDAL / GEOS Dependencies 🌍 General-Purpose Spatial Processing, Geared Towards GIS Professionals Xarray-Spatial implements common raster…

Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demographics data b) Point of Interests from Open Street Map c) Google Popular Times

Currently we support the following databases and data warehouses For connecting and loading all your tooling data into a data warehouse, we are integrating with Airbyte connectors. For everything rel…

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…

A package built to support working with spatial data using open source python

EarthPy makes it easier to plot and manipulate spatial data in Python. Python is a generic programming language designed to support many different applications. Because of this, many commonly perform…

GeostatsPy Python package for spatial data analytics and geostatistics. Mostly a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) in Python. Geostatistics in a Python package. I hope this resources is helpful, Prof. Michael Pyrcz

The GeostatsPy Package brings GSLIB: Geostatistical Library (Deutsch and Journel, 1998) functions to Python. GSLIB is a practical and extremely robust set of code for building spatial modeling workfl…

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.

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…

Geo Data Analytics tool for VSCode IDE with kepler.gl support to generate and view maps 🗺️ without any Python 🐍, IPyWidgets ⚙️, pandas 🐼, Jupyter notebooks 📚, or ReactJS ⚛️ app code.

List of Geo Data Viewer 🗺️ commands, keyboard shortcuts, augmented VSCode UI context menus, added geo data Language mappings, and supported geo data files:

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 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…

A curated set of lightweight but powerful tools for on-the-fly image processing and raster analysis in ArcGIS.

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 …

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…

Spatial Audio Python Package

Spatial Audio Python Package. The focus (so far) is on spatial audio encoders and decoders. The package includes e.g. spherical harmonics processing and (binaural renderings of) loudspeaker decoders,…

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

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…