Geo Libraries

44 Components & Libraries

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Geo Libraries

StellarGraph - Machine Learning on Graphs

Graph-structured data represent entities as nodes (or vertices) and relationships between them as edges (or links), and can include data associated with either as attributes. For example, a graph can…

The official repository for ROOT: analyzing, storing and visualizing big data, scientifically

The ROOT system provides a set of modules with all the functionality needed to handle and analyze large amounts of data in a very efficient way. Having the data defined as a set of objects, specializ…

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…

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

A collection of Python demos for spatial data analytics, geostatistics and machine learning methods. Please cite as: I use these demonstrations for: Other resources that you might be interested in in…

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.

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.

Open-source, implicit 3D structural geological modeling in Python. We provide the latest release version of GemPy via PyPi package services. We highly recommend using PyPi, The following versions are…

Build your own Raster dynamic map tile services

To install from PyPI and run: To install from sources and run for development: Ready to use/deploy images can be found on Github registry.

Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python

This code is BSD-licensed (3 clause). or using pip+git for the latest version of the code: or in editable mode to be able to modify the sources: If you make a modification, run the test suite before …

TypeDB-ML is the Machine Learning integrations library for TypeDB

You may find the following resources useful, particularly to understand why TypeDB-ML started: Python >= 3.7.x It's expected that you will use Pip to install, but should you need to make your own …

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…

Python script for generating high quality heatmaps based on any coordinate data (GPS tracks, eye tracking, etc).

There are a few kinds of heat maps. This program is for when you have data points, each with a pair of orthogonal coordinates (X/Y, lat-lon) and you want to plot them on a map such that they blob tog…

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.

IP Tools To quickly get information about IP Address's, Web Pages and DNS records.

This Tools is a collection of online IP Tools that can be used to quickly get information about IP Address's, Web Pages and DNS records. Determine the registered owner of a domain or IP address block…

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:

A Python module to use the Tesla Motors Owner API

TeslaPy 2.0.0+ no longer implements headless authentication. The constructor differs and takes these arguments: Basic usage of the module: Example output: Example using a webview component that displ…

Welly helps with well loading, wireline logs, log quality, data science

Next, check out the tutorial notebooks.

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 couple of python scripts to interpret geological structures from geophysical images using deep learning

If you use this project in your research or wish to refer to the results of the tutorials, please use the following BibTeX entry.

Python library for management for geospatial data in GeoServer.

Geoserver-rest is the open source library written in python and contributors are needed to keep this library moving forward. Any kind of contributions are welcome. Here are the basic rule for the new…

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 …

A petrophysics python package for geoscience python computing of conventional and unconventional formation evaluation. Reads las files and creates a pandas dataframe of the log data. Includes a basic petrophysical workflow and a simple log viewer based on XML templates.

Install PetroPy through pip via the command line To read in an las file, pass the file reference:

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…

Collection of geophysical notes in the form of IPython/Jupyter notebooks.

My collection of geophysical notes written as Jupyter notebooks. (Mostly obsolete now, don't have time for a proper update; for example I stopped wasting my time with jupyter widgets and Panel for in…

This module is a Python Library that enables the user to find the country, region, city, coordinates, zip code, ISP, domain name, timezone, connection speed, IDD code, area code, weather station code, weather station name, mobile, usage types, address type and IAB category that any IP address or host name originates from.

This is a IP2Location Python library that enables the user to find the country, region or state, city, latitude and longitude, ZIP code, time zone, Internet Service Provider (ISP) or company name, do…