A local-first lakehouse reference architecture for production-minded data platform engineering.
This repository serves as a comprehensive guide to effective data modeling and robust data quality assurance using popular open-source tools
This is a OpenMetadata custom connector to any spatial data format which can be read through fiona (the OGR part of the excellent GDAL library).
This repository is OpenMetadata's custom DuckDB Connector
Bring Semantics to your AI Agents via the OpenMetadata & Collate AI SDK
Complete open-source data platform with Airbyte, Dremio, dbt, and Apache Superset - Documented in 18 languages
Autonomous database health monitoring and self-healing system.
A curated collection of open source technologies and an accompanying CLI for experimenting with modern data architecture and MLOps.
An AI-powered, metadata-aware pull request guardrail for data engineering. Automate SQL reviews, detect PII risks, and assess data lineage impact using OpenMetadata and Gemini
Docker deployment of Dagster, DBT, and OpenMetadata
OpenBlame is a local-first AI investigation CLI for data pipelines running on OpenMetadata. Point it to a table, and it will trace lineage, inspect recent quality failures, parse schema-changes, surface governance gaps, and draft a root-cause narrative.
Runnable OpenMetadata SDK, connector, ingestion, lineage, and MCP examples.
⏳ CHRONOS — Autonomous Data Incident Root Cause Analysis Agent. Triple-graph architecture (OpenMetadata + Graphiti + GitNexus) powered by LangGraph. Travels through metadata time to find where data quality broke.
This Project aims to enhance Spark Lineage Generation in Open Metadata by creating Lineage edges from Table-to-Table with Column level lineage as well as Container to Table Lineage.
Conversational AI agent for OpenMetadata data catalogs. Ask questions in natural language, get answers via 27 MCP tools + Gemini.
Migration tool for OpenMetadata - migrate data catalogs, lineage, and metadata between OpenMetadata instances
Infrastructure became code. Pipelines became code. Policies became code. It's time for enterprise semantics to become code. Semantics as Code is an open specification for defining business meaning as version-controlled, testable, deployable artifacts that work across modern data and AI platforms.
Data governance & quality case study applying the UNE 0077-0081 family on a real OpenMetadata instance (catalog, glossary, lineage) over Kubernetes.
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