Iris is a Python library for analysing and visualising Earth science data. It excels when working with multi-dimensional Earth Science data, where tabular representations become unwieldy and inefficient. Iris implements a data model based on the CF conventions.

The libmaxminddb library provides a C library for reading MaxMind DB files, including the GeoIP2 databases from MaxMind. The MaxMind DB format is a custom, but open, binary format designed to facilitate fast lookups of IP addresses while allowing flexibility in the type of data associated with an address.

This package implements functions to convert OpenStreetMap and Overpass API data (JSON or XML) to GeoJSON or Shapely geometries.

PHREEQC implements several types of aqueous models including two ion-association aqueous models. This package contains modifications for OpenGeoSys

This is a python implementation of the geodesic routines in GeographicLib.

Libaec provides fast lossless compression of 1 up to 32 bit wide signed or unsigned integers (samples). The library achieves best results for low entropy data as often encountered in space imaging instrument data or numerical model output from weather or climate simulations. While floating point representations are not directly supported, they can also be efficiently coded by grouping exponents and mantissa.

Facilitates mapping by making natural earth map data from http:// www.naturalearthdata.com/ more easily available to R users. Focuses on vector data.

This package provides a GTK+ widget (and Python bindings) that when given GPS coordinates,draws a GPS track, and points of interest on a moving map display. Downloads map data from a number of websites, including https://www.openstreetmap.org.

RTree is a Python package with bindings for libspatialindex.

The purpose of this library is to provide:

• An extensible framework that will support robust spatial indexing methods.

• Support for sophisticated spatial queries. Range, point location, nearest neighbor and k-nearest neighbor as well as parametric queries (defined by spatial constraints) should be easy to deploy and run.

• Easy to use interfaces for inserting, deleting and updating information.

• Wide variety of customization capabilities. Basic index and storage characteristics like the page size, node capacity, minimum fan-out, splitting algorithm, etc. should be easy to customize.

• Index persistence. Internal memory and external memory structures should be supported. Clustered and non-clustered indices should be easy to be persisted.

This package provides a Python bindings for H3, a hierarchical hexagonal geospatial indexing system

GeoIP2Fast is a fast GeoIP2 country/city/asn lookup library that supports IPv4 and IPv6. A search takes less than 0.00003 seconds. It has its own data file updated twice a week with Maxmind-Geolite2-CSV, supports IPv4/IPv6 and is pure Python.

ObsPy is a project dedicated to provide a Python framework for processing seismological data. It provides parsers for common file formats, clients to access data centers and seismological signal processing routines which allow the manipulation of seismological time series.

The goal of the ObsPy project is to facilitate rapid application development for seismology.

Pure Python code to calculate IGRF model predictions. The IGRF is a model of the Earth's main magnetic field that is updated every 5 years.

OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.

Proj is a generic coordinate transformation software that transforms geospatial coordinates from one CRS to another. This includes cartographic projections as well as geodetic transformations. Proj includes command line applications for easy conversion of coordinates from text files or directly from user input. In addition, Proj also exposes an application programming interface that lets developers use the functionality of Proj in their own software.

Pyogrio provides a GeoPandas-oriented API to OGR vector data sources, such as ESRI Shapefile, GeoPackage, and GeoJSON. Vector data sources have geometries, such as points, lines, or polygons, and associated records with potentially many columns worth of data. Pyogrio uses a vectorized approach for reading and writing GeoDataFrames to and from OGR vector data sources in order to give you faster interoperability. It uses pre-compiled bindings for GDAL/OGR so that the performance is primarily limited by the underlying I/O speed of data source drivers in GDAL/OGR rather than multiple steps of converting to and from Python data types within Python.

Imposm is an importer for OpenStreetMap data. It reads PBF files and imports the data into PostgreSQL/PostGIS databases. It is designed to create databases that are optimized for rendering/tile/map-services.

QMapShack can be used to plan your next outdoor trip or to visualize and archive all the GPS recordings of your past trips. It is the successor of the QLandkarte GT application.

The goal of GeoPandas is to make working with geospatial data in Python easier. It combines the capabilities of Pandas and Shapely, providing geospatial operations in Pandas and a high-level interface to multiple geometries to Shapely. GeoPandas enables you to easily do operations in Python that would otherwise require a spatial database such as PostGIS.

Provides an API for the GeoIP2 web services and databases. The API also works with MaxMind’s free GeoLite2 databases.

Tegola is a free vector tile server written in Go. Tegola takes geospatial data and slices it into vector tiles that can be efficiently delivered to any client.

The SPLAT (Signal Propagation, Loss, And Terrain) program can use the Longley-Rice path loss and coverage prediction using the Irregular Terrain Model to predict the behaviour and reliability of radio links, and to predict path loss.

This package provides units of measure as required by the Climate and Forecast (CF) metadata conventions. Provision of a wrapper class to support Unidata/UCAR UDUNITS-2 library, and the cftime calendar functionality.