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Tools and agents for interacting with the Data Commons Knowledge Graph using the Model Context Protocol (MCP).
Application for managing recipes, planning meals, building shopping lists and much much more!
A toolkit for Geodesy and Surveying in Python
glennlaughlin / ariadne
Forked from mirumee/ariadnePython library for implementing GraphQL servers using schema-first approach.
RAMP 4 - The Reusable Accessible Mapping Platform, fourth major version
Simple, unified interface to multiple Generative AI providers
Work on UML Best Practices for ISO/TC211
Remote sensing tools for high-resolution mapping of the intertidal zone
GraphQL service for python dataframes and parquet datasets.
A Python library for fast, interactive geospatial vector data visualization in Jupyter.
rHEALPixDGGS-py implements code to both define an rHEALPix DGGS Reference System and to perform topological queries on its Identfiers. Our roadmap is for v1.0 to be fully compliant with OGC Topic 2…
All Saleor services started from a single repository with docker-compose.
Public Repository for the Connected Systems SWG
It is opened to develop S-102 Bathymetric Surface Product Specification. The contents of this repository are not offical publication in force, therefore please check the final version on the IHO we…
Fast & Friendly Web Framework For Building Async APIs With Python 3.10+
QGIS core ported to WebAssembly to run it on the web platform
Convert raster and vector geospatial data to various formats and coordinate systems entirely in the browser.
Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.
Information and resources about bathymetric data from NASA's ICESat-2 mission, created by the ICESat-2 Science Team Bathymetry Working Group.
Collection of ingredients/configurations + docs for ingesting data into Rasdaman
Repository of the Spatial Data on the Web Working Group for the SOSA/SSN vocabulary
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Ecosystem indices to support global biodiversity conservation