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

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.

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

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

Stores the RDF Triple and Search the value of Object on the basis of Subject and Predicate.

Virtuoso Docker image

Software Engineering Ontology app to create pedagogical course project

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

Eclipse RDF4J is a powerful Java framework for processing and handling RDF data. This includes creating, parsing, scalable storage, reasoning and querying with RDF and Linked Data. It offers an easy-to-use API that can be connected to all leading RDF database solutions.

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

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.