Atomic Data
Semantic & Data ProtocolsModular specification for sharing, modifying, and modeling graph data combining the ease of use of JSON, the connectivity of RDF (linked data), and the reliability of type-safety. A strict subset of RDF with built-in schema validation via Atomic Schema (Classes, Properties, Datatypes). Uses links (URLs) to connect pieces of data, making it easier to connect datasets even across separate machines. Extended modules cover Commits (signed state changes with version history), Agents (authentication via public/private keys), Collections (querying/filtering/sorting), Hierarchies (authorization), WebSockets (real-time updates), and file management
Híbrido Empresa Risco de captura médio
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Detalhes
Licença GPL-3.0 / MIT
Status de Dev Alpha
Proprietário Joep Meindertsma (creator, CEO of Ontola.io); Paul Opass (front-end contributor); Ontola.io (Netherlands-based software development firm); W3C Atomic Data Community Group; also founder of PauseAI
País Netherlands
Ano de Início 2020
Stack Rust, TypeScript/React, Svelte, JavaScript, CLI
Financiamento NGI
Última Investigação 15 de jan. de 2026
Semantic & Data Protocol Atributos
Protocol Maturity / Standardization Proprietary Open Standard (published specification at docs.atomicdata.dev; developed by Ontola/Joep Meindertsma)
Vocabulary / Ontology Type General-purpose / Graph database and linked data; Atomic Schema provides type-safe ontology with Classes, Properties, and Datatypes; built-in Ontology Editor in AtomicServer for creating and sharing custom data models
Usage Pattern Standalone (AtomicServer as graph database + headless CMS + all-in-one workspace) + embedded (atomic-lib Rust library, @tomic/lib JavaScript library for building apps); use cases include headless CMS, personal data store, e-commerce, surveys, verifiable credentials, data catalogs, education, food labels