Structured data is a method of defining data in a structured way to represent elements of a subject; it first emerged in 1958 as a way to organize data.
🔋 Represent energy systems as Python data classes for improved modularity and readability
Generate an ERD from your dbt project model config.
PLAID (Physics-Learning AI Datamodel), a flexible and extensible framework for representing and sharing datasets of physics simulations
Python library to parse the Universal Ink Model and use it digital ink in your Python project.
Interactive HTML explorer for PostgreSQL data models. A self-contained page generated from a DDL file
Automated provisioning of an industry Lakehouse with enterprise data model
An implementation of the CIDOC Conceptual Reference Model in Neo4j, using neomodel
RKI Metadata Exchange | Metadata model in JSON schema format to facilitate interoperability and formalize the technical implementation in MEx applications.
Interpreting Guidewire CDA as delta table
A common open energy data model (oedatamodel) and datapackage format for energy and scenario data
Open Retail Data Model (ORDM): an open, vendor-neutral retail data model for the lakehouse. Conformed canonical core, outcome packages with metric views, data contracts and synthetic data.
Web-Site Scraping Utility
A dbt package to support modelling event data via split tables for use in downstream tools and systems.
Lightweight data model management for Python
This repository contains a version of the LUE physical data model as presented in our 2019 manuscript, as well as example scripts and other files used in the preparation of that manuscript.
Dump a Salesforce org's entire data model (objects, fields, relationships, validation rules) to SQLite in minutes, not hours.
Model for Annotating Generic Objects in VOTables