Embedded Graph Database for Python. Lives inside your Python process. Quick setup. No server. Runs in notebooks, apps, even your browser.

OntoBricks is a web application that transforms Databricks tables into a materialized knowledge graph. It lets you design ontologies (OWL), map them to Unity Catalog tables via R2RML, materialize triples into a Delta triple store and graph DB, reason over the graph (OWL 2 RL, SWRL, SHACL), and query it through an auto-generated GraphQL API + MCP

A highly scalable RDF triple store with full-text and GeoSPARQL support

A schemaless graph database based on RocksDb

an edge database

Document RDFizer for CouchDB

kmx.io KC3 programming language / graph database

store4 is a Go package providing a fast in-memory quad store, with graph and subject views.

Symatem graph database backend

Citizen Knowledge Graph Prototype

System programming in C# for SPARQL querying through Knowledge Base with interface development by creating html files with Classes, Properties and Instances for Car Assistant

ETS-backed triple store for Elixir. SPARQL subset (5 operations), 4 OWL 2 RL rules, 3-way indexing. 11 modules, 1095 lines, 108 tests.

Virtuoso Docker image

Software Engineering Ontology app to create pedagogical course project

Reference catalog for graph databases, knowledge graphs, RDF/SPARQL stores, and vector-search support.

Eclipse RDF4J is a powerful open-source Java framework for processing and handling RDF data. It supports creating, parsing, scalable storage, reasoning, and querying with RDF and Linked Data, and ships with an HTTP server (RDF4J Server) and a web-based Workbench.

a database agnostic semantic data fabric for schema driven forms, ui elements and CRUD tooling

RDFParquet is a high-performance Java engine for storing and querying RDF data in the Apache Parquet columnar format. Developed as part of my Diploma Thesis at the University of Ioannina, it features multi-index Parquet storage and a SPARQL-like processor optimized for analytical workloads.