Deterministic execution for non-deterministic AI.
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Updated
Jun 7, 2026
Deterministic execution for non-deterministic AI.
Malloy is a modern open source language for describing data relationships and transformations.
Browser-based ontology workbench for OWL ontologies and SKOS vocabularies. Streamlit + rdflib, no Java, no Protégé. Bulk operations, OWL-RL reasoning, gist upper-ontology starters, merge-aware imports, interactive vis-network graph.
Publisher is the open-source semantic model server for the Malloy data language. It lets you define semantic models once — and use them everywhere.
Malloy Composer is a simple application to build dashboards or run ad-hoc queries using an existing Malloy model
Turn your coding agent into a world-class data analyst
Python package for executing Malloy
The Malloy Visual Studio Code extension facilitates building Malloy data models, querying and transforming data, and creating simple visualizations and dashboards
Malloy model examples and associated datasets
Library to process dumps of knowledge graphs (Wikipedia, DBpedia, Wikidata)
Documents succinctly describing aspects of manually developing ontologies, and a set of guidelines to do so manually.
University of Derby 2024-UDOL-2025-05-26-6CC552
Treating wedding planning as a data platform problem. Portfolio piece showcasing systems design, semantic modeling & coherent workflows.
A self-contained web application that allows people to test out the functionality of Malloy without having to download any code or set up any database connections
Metamorph is a Clojure libary that enables the generation of an Avro schema from a given input SHACL model.
Data Praxis Platform is an enterprise-grade, AI-native data management platform built on a unified ontology engine. It transforms fragmented data into an intelligent knowledge fabric—enabling semantic governance, automated linea ge, and autonomous AI agents that reason over real-world business context.
Planera is an agentic analytics copilot that turns natural language questions into structured, explainable analysis over uploaded data.
KAD Theory — The Theory of Domain (Kinetic Alignment of Domains)
Experiments with semantic machine learning models
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