semantic-layer

📊 Cube’s universal semantic layer platform is the next evolution of OLAP technology for AI, BI, spreadsheets, 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

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

Open-source repository for Semantic Modeling Language (SML)

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.

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.

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

Testing Boring SL with DuckDB

GameTuner Query Engine is responsible for executing the queries that are built from API requests.

Provides a powerful semantic layer based on Exasol Virtual Schema

Analytics Engineering assignment for FedEx using dbt, cube.dev, and Superset

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

AI-powered MuleSoft API platform enabling 10-minute grid recovery for utilities. Integrates SCADA, weather, DER, and field systems with autonomous agent coordination. -15M annual ROI through 85% outage reduction.