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

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

Semantica 🧠 — A framework for building semantic layers, context graphs, and decision intelligence systems with explainability and provenance.

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.

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)

The GenAI-powered toolkit for automated data intelligence.

The universal metrics layer. Compatible with 15+ formats: Cube, MetricFlow, LookML, Omni, BSL, LDM, Cortex, Malloy, OSI, SML, TML, Hex, Rill, Superset

Databao agent is an open-source agent that enables you to chat with your data and receive answers in text, interactive charts, and tables.

Databao Context Engine is an open-source engine that automatically generates a governed semantic context from your databases, BI tools, documents, and spreadsheets. It runs locally in your environment and integrates with any LLM to deliver accurate, context-aware answers

An implementation of Measures in SQL as a DuckDB extension

Open-source agentic schema CLI. Optimised for claude code, gemini, codex and co-pilot. Skills included.

Testing Boring SL with DuckDB

API-first semantic layer engine with MCP server that compiles declarative YAML models into optimized, dialect-specific SQL across PostgreSQL, Snowflake, ClickHouse, Dremio, and Databricks.

Open-source agentic schema for reliable data outputs. Query data through MCP and via our SDK. Create apps, embed data or just simply explore through your preferred agent.

A Grafana data source plugin that brings semantic layer analytics via Cube. Define metrics once, use them consistently across all dashboards.

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

No description provided.

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

Ontology-based MCP server that analyzes database schemas (PostgreSQL, Snowflake, ClickHouse, Dremio) and generates RDF/OWL ontologies with SQL mappings for fan-trap-free Text-to-SQL.

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

QueryWise: Natural-language SQL assistant with semantic context, glossary- aware query generation, and a React/FastAPI stack.

MCP agent for semantic metrics governance with built-in trust scoring, lineage visualization, and conversational metric definition. Designed for data teams working with dbt, LookML, and modern semantic layers.

The Reference Implementation for EU AI Act (Article 10). Cryptographic semantic binding to ensure deterministic integrity for High-Risk AI. (NEN/ISO JTC 25 Aligned)

TypeScript SDK for querying the Bonnard semantic layer. JSON queries, SQL interface, multi-tenant token exchange. Works in Node.js, Edge, and browser.

A complete reference implementation of a local-first ecosystem for AI-powered analytics. This repository contains the source code for the SBDK.dev website, the central hub for the SBDK suite of open-source tools.