The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.
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Updated
Jun 6, 2026 - TypeScript
The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.
The Context Platform for your Data and AI Stack
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
World's most powerful open data catalog for building a high-performance, geo-distributed and federated metadata lake.
First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.
Intake is a lightweight package for finding, investigating, loading and disseminating data.
📙 Awesome Data Catalogs and Observability Platforms.
🐳 The stupidly simple CLI workspace for your data warehouse.
The open-source context layer for your AI. Catalog your tables, topics, queues and APIs then expose real metadata to your AI agents.
Work with your web service, database, and streaming schemas in a single format.
Scan databases and data warehouses for PII data. Tag tables and columns in data catalogs like Amundsen and Datahub
The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base
An intake plugin for parsing an Earth System Model (ESM) catalog and loading assets into xarray datasets.
The GenAI-powered toolkit for automated data intelligence.
Reference implementation for real-time Data Lineage tracking for BigQuery using Audit Logs, ZetaSQL and Dataflow.
A trusted data asset platform for government and organizational collaboration, covering the full lifecycle of data governance, trading, authorization, analytics, and AI-powered exploration.
Modern documentation site generator for dbt Core — lineage explorer, health scoring, full-text search. Live demo: https://demo.docglow.com
Metamapper is a data discovery and documentation platform for improving how teams understand and interact with their data.
Reference Architectures for Datalakes on AWS
Sample code with integration between Data Catalog and RDBMS data sources.
Add a description, image, and links to the data-catalog topic page so that developers can more easily learn about it.
To associate your repository with the data-catalog topic, visit your repo's landing page and select "manage topics."