Reverse Dependencies of OWSLib

The following projects have a declared dependency on OWSLib:

• animal-classification — classification of animals using machine learning models
• bas-web-map-inventory — Inventory of geospatial layers and web maps provided by the BAS Mapping and Geographic Information Centre (MAGIC), visualised in Airtable.
• basemap — Plot data on map projections with matplotlib
• bcdata — Python tools for quick access to DataBC geo-data available via WFS
• birdhouse-birdy — Birdy provides a command-line tool to work with Web Processing Services.
• birdhouse-finch — A Web Processing Service for Climate Indicators.
• bpnsdata — A package to add marine environmental data to a geopandas dataframe
• brodata — A Python-package to download and process subsurface data from DINO and BRO
• building2parcel-trainingdata — A package for mapping parcels and buildings using various data sources
• c2cgeoportal_geoportal — c2cgeoportal geoportal
• cartiflette — Tools to easily retrieve French borders for geographic data analytics
• ckan-harvester — Harvester Next Generation Core for CKAN
• ckan-harvesters — Harvester Next Generation Core for CKAN
• compliance-checker — Checks Datasets and SOS endpoints for standards compliance
• datacube-ows — Open Data Cube Open Web Services
• dea-tools — Functions and algorithms for analysing Digital Earth Australia data.
• deafrica-tools — Functions and algorithms for analysing Digital Earth Africa data.
• disstans — DISSTANS
• dz-lib — no summary
• eodag — Earth Observation Data Access Gateway
• eodash_catalog — This package is intended to help create a compatible STAC catalog for the eodash dashboard client. It supports configuration of multiple endpoint types for information extraction.
• eodc — Python SDK for interacting with EODC services.
• EOmaps — A library to create interactive maps of geographical datasets.
• geemap — A Python package for interactive mapping using Google Earth Engine and ipyleaflet
• gemgis — Spatial data processing for geomodeling
• geodata-harvester — An automation tool for harvesting and processing geodata from the web
• geodatacrawler — a crawler script to extract and author metadata of spatial datasets
• geoengine — A package for easy access to Geo Engine instances
• georeader — Module for reading spatial data files and services
• geoservercloud — Lightweight Python client to interact with GeoServer Cloud REST API, GeoServer ACL and OGC services
• geospatial — A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.
• geostream — Python tool to interact with OGC APIs with ease.
• gn_gsimporter — GeoNode GeoServer Importer Client
• grim-opt — Greenfield Renewable energy source Investment Model
• hydrodata — A portal to access hydrology and climatology databases in Python
• ioos-tools — Misc functions for IOOS notebooks
• ircelsos — Downloading air quality data from the SOS of IRCEL - CELINE
• jupyterlab-thredds — A Jupyter Notebook server extension which crawls a thredds catalog
• kynegos-easy-cloud — Automatización de procesos de Data para Kynegos
• maxar-platform — Maxar Geospatial Platform SDK
• ngr-services-spider — test
• nlmod — Python package to build, run and visualize MODFLOW 6 groundwater models in the Netherlands.
• nvcl-kit — Downloads Australian National Virtual Core Library (NVCL) datasets
• nwm — Fetch and process data from the National Water Model
• ogc-legends — A small library to work with OGC legends
• openkmi — Python package to download open data from KMI
• orthoseg — Package to make it easier to segment orthophotos.
• parcel-building-mapper — A package for mapping parcels and buildings using various data sources
• podpac — Pipeline for Observational Data Processing, Analysis, and Collaboration
• pycsw — pycsw is an OGC CSW server implementation written in Python
• pydov — A Python package to download data from Databank Ondergrond Vlaanderen (DOV).
• pyeodh — A lightweight Python client for EODH APIs.
• pygeometa — pygeometa is a Python package to generate metadata for geospatial datasets
• pygeoogc — An interface to ArcGIS RESTful-, WFS-, and WMS-based services.
• pygis — A Python package for installing optional dependencies for geemap and leafmap.
• pyglimer — Pythonic Lithospheric Imaging using Earthquake Records
• pyincore-viz — IN-CORE visualization python package
• pyinfraformat — Python library for Finnish Infraformat
• pyrolite — Tools for geochemical data analysis.
• pyteseo — Python package developed to simplify and facilitate the setup and processing of TESEO simulations (https://ihcantabria.com/en/specialized-software/teseo/)
• pytRIBS — A pre-to-post processing python package for the distributed hydrological model tRIBS
• pywaterml — The pywaterml is a package that lets you handle WaterML functions such as GetValues, GetSitesInfo, etc. In addition it lets offers extra functions such as mean interpolation for data with gaps
• pywoudc — High level package providing Pythonic access
• pywps — PyWPS is an implementation of the Web Processing Service standard from the Open Geospatial Consortium. PyWPS is written in Python.
• pywps-json — PyWPS is an implementation of the Web Processing Service standard from the Open Geospatial Consortium. PyWPS is written in Python.
• RiskChanges — Library for computation of Loss and risk for Changing Natural Hazards
• rompy — Relocatable Ocean Modelling in PYthon (rompy)
• scar-add-metadata-toolbox — Editor, repository and data catalogue for SCAR Antarctic Digital Database (ADD) discovery metadata
• sdap-os — Demo of usage of object storage for SDAP
• soil-moisture-prediction — Predicts soil moisture from cosmic ray neutron sensor data using a random forest model
• soilgrids — Fetch global gridded soil information from the SoilGrids system https://www.isric.org/explore/soilgrids
• sos4py — sos4py is a convenience layer for Python environment to access services from SOS instances.
• st-lucas — ST_LUCAS Python package
• tethys_dataset_services — A generic Python interface for dataset services such as GeoServer, CKAN, and HydroShare
• titiler.stacapi — Connect titiler to STAC APIs.
• wells4hydrogeology — A package to read in geology data from wells and create a layered, gridded hydrogeologic model of a study region, all within a python environment, automating and performing tasks often carried out in a dedicated GIS software.
• wmss — WMSS Library