📊 Cube Core is open-source semantic layer and LookML alternative for AI, BI and embedded analytics

MetricFlow allows you to define, build, and maintain metrics in code.

Synmetrix – production-ready open source semantic layer on Cube

🤖 The Semantic Engine for Model Context Protocol(MCP) Clients and AI Agents 🔥

Metrics Observability & Troubleshooting

An open-source Text2SQL tool that transforms natural language into SQL using graph-powered schema understanding. Ask your database questions in plain English, QueryWeaver handles the weaving.

Make sense of it all. Semantic data modeling and analytics with a sprinkle of AI. https://totalhack.github.io/zillion/

Strwythura: construct a knowledge graph from unstructured data sources, organized by results from entity resolution, implementing an enhanced GraphRAG approach, and also implementing an ontology pipeline plus context engineering for optimizing AI application outcomes within a specific domain

The GenAI-powered toolkit for automated data intelligence.

Open-source repository for Semantic Modeling Language (SML)

Testing Boring SL with DuckDB

A universal metrics layer. Compatible with definitions in LookML, MetricFlow, Cube with DuckDB, Snowflake, Clickhouse, Bigquery & more!

An implementation of Measures in SQL as a DuckDB extension

This repo contains an end-to-end analytics engineering project within the marketing domain. Utilisation of DBT semantic layer is introduced in this project to standardize metrics definition that will be used later to produce end data products.

Transform JSON output from Senzing SDK for use with graph technologies, semantics, and downstream LLM integration

A proof-of-concept Flask app that converts natural language to SQL queries based a simple semantic model.

A Model Context Protocol (MCP) server that provides MetricFlow CLI tools

Semnatic Layer and CICD demo with dbt and snowflake

The vendor-neutral JSON standard for Headless Data Governance. Define metrics once, sync to any modern data platform (dbt, Power BI, Snowflake, DataBricks, Tableau....)

Proof-of-concept semantic layer for grounding RAG and AI systems in business concepts and rules