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
Sep 8, 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.
Code-Native Data Privacy
Schema registry governance for event-driven architectures — data contracts, Confluent integration, Protobuf validation. FastAPI + Next.js.
Contracts and schemas for a multi-repo knowledge pipeline: events, sessions, summaries, digests, and publishing buses.
Verified self-healing web scrapers. Every AI repair is tested against golden fixtures before it ships, and every row carries a provenance receipt with its full heal lineage. Built on Bright Data Scraper Studio.
Weekly contribution-margin workbench over the real Olist dataset — 99,441 orders distilled to 15,809 hash-verified cells across 95 weeks — analyzed entirely in-browser via DuckDB-WASM behind ten fail-closed data contracts
VS Code extension to build a Databricks Lakehouse data quality framework with DQX - profiling, versioned contracts, dry runs, scheduled jobs and a quality dashboard.
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.
Consent-gated CALL-E interviews for safer data schema changes.
Read-only schema-change risk reviews and lineage-grounded repair campaigns for DataHub and dbt. Open-source app with a hosted replay.
Local-first ML data-contract validation lab with transparent schema, quality, and shift gates.
Data contract compatibility and lineage blast-radius checks for pull requests.
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