How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
Egeria provides the Apache-2.0 licensed open metadata and governance type system, frameworks, APIs, event payloads and interchange protocols to enable tools, engines and platforms to exchange metadata in order to get the best value from data, whilst ensuring it is properly governed.
The main features of odpi/egeria are: Data Catalogs, Open Source Catalogs.
Projects with overlapping indexed features include: grai-io/grai-core. open-metadata/openmetadata — OpenMetadata is an enterprise data catalog, metadata platform, and governance suite that functions as a knowledge… datahub-project/datahub — DataHub is a metadata management platform designed to unify technical, operational, and business context across… elementary-data/elementary — Elementary OSS: dbt-native data observability. apache/gravitino — Gravitino is a federated metadata lake and unified data catalog designed to manage tables, files, and AI models across… opendatadiscovery/odd-platform — Next-Gen Data Discovery and Data Observability Platform.
Elementary OSS: dbt-native data observability
Gravitino is a federated metadata lake and unified data catalog designed to manage tables, files, and AI models across diverse data sources and cloud storage. It serves as a centralized interface for governing schemas, access controls, and tagging across relational databases, messaging queues, and object stores. The project distinguishes itself by unifying the management of AI assets, such as machine learning models and their version lineages, alongside traditional tabular data. It also implements the Iceberg REST specification to provide a standardized metadata server and proxy for lakehouse
DataHub is a metadata management platform designed to unify technical, operational, and business context across diverse data ecosystems. By utilizing a graph-based metadata model and an event-driven ingestion architecture, it creates a centralized source of truth that maps complex data relationships, lineage, and ownership. This foundational framework enables organizations to maintain a synchronized view of their data landscape, supporting both human-led discovery and automated data operations. The platform distinguishes itself through its focus on grounding artificial intelligence and autono
