OpenMetadata – OSS platform for data discovery observability governance
Hi HN, OpenMetadata is an open-source metadata platform built to solve complex data management challenges and deliver high quality data assets. It’s based on the experiences of solving the data problems encountered at companies like Uber and Hortonworks. Our team includes the creators of Hadoop, Atlas, and Uber Databook, as well as committers/PMC of projects like Apache Kafka and Storm. Unified Metadata Platform * Unified: A single platform for data discovery, governance, and data observability. * API-first: Standardized metadata specifications using well-designed REST APIs, crucial for…
OpenMetadata – OSS platform for data discovery observability governance launched on July 17, 2024 with 19 votes, #1,076 of 5,184 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
OpenMetadata is an open-source platform for data discovery, governance, and observability built by former engineers from Uber and Hortonworks. It provides a unified system for managing metadata across data infrastructure through standardized REST APIs, consolidating functionality typically scattered across separate data catalog, quality, and governance tools. The platform serves data teams managing complex data environments and eliminates the need to maintain multiple siloed tools for different data management tasks.
written from the facts on this page · September 2026
From the sources
OpenMetadata is the open-source AI context layer — powered by metadata, semantics, and memory that give people and AI a shared, rich understanding of your data. Built by the founders of Apache Hadoop, Apache Atlas, and Uber Databook. The unified platform for data cataloging, discovery, quality, observability, governance, lineage, collaboration & more.
Unify technical context, business semantics, and organizational memory into one graph — so AI agents and humans reason from the same trusted foundation. Built by the founders of Apache Hadoop, Atlas, and Uber Databook. Driven by an active community of thousands globally, OpenMetadata is the #1 open-source project for AI context, data cataloging, and metadata management. Schemas, tables, columns, dashboards, pipelines, ML models, owners, lineage, and classifications — captured in one open metadata graph. Glossary terms, metric definitions, semantics, and W3C-standard relationships (RDF, OWL, DCAT, Schema.org) that give your data shared business meaning. Corrections, decisions, approvals,…from open-metadata.org
In the maker’s words, at launch
Hi HN, OpenMetadata is an open-source metadata platform built to solve complex data management challenges and deliver high quality data assets. It’s based on the experiences of solving the data problems encountered at companies like Uber and Hortonworks. Our team includes the creators of Hadoop, Atlas, and Uber…
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Open source data discovery and observability platform2022 · opendatadiscovery.org · ▲122With the OpenDataDiscovery Platform, you can collect metadata from any data source, regardless of format or location. This powerful platform provides data discovery, observability, and trust for your entire data pipeline.
OpenDataDiscovery2022 · opendatadiscovery.org · ▲105First open-source data discovery and observability platform

Metabase, an open-source business intelligence tool2015 · metabase.com · ▲287Metabase grounds every answer in your semantic layer — your metrics and business logic — so you can inspect the query behind it.


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Source: Show HN post ↗ · launch text quoted in part
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Many years ago, I made VJ softwares (to mix live visuals in clubs) for unexpected platforms like the Game Boy Advance, the Playstation 2 and the Raspberry Pi. This year, I’m back with a new web-app: Pikimov. Inspired by Photopea (a free Photoshop clone), I created this web-based motion design & video editor as an alternative to After Effects, to fill empty void. It's free, without signup, without cloud uploads (your files stay on your machine), and your projects are not used for AI models training.
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