📊 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
Open-source repository for Semantic Modeling Language (SML)
The GenAI-powered toolkit for automated data intelligence.
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
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.
Automated semantic modeling platform for generating consistent analytics-ready semantic layers using Delta Lake metadata and Python.
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