triple-store

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

Transforms Databricks Unity Catalog tables into a materialized knowledge graph, with ontology design and reasoning exposed as tools via MCP.

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

A schemaless graph database based on RocksDb

an edge database

kmx.io KC3 programming language / graph database

Document RDFizer for CouchDB

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

Symatem graph database backend

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

Citizen Knowledge Graph Prototype

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

Implementation of a compact RDF store based on BMatrix indexing and dynamic K2-Trees. Embedded into an accompanying Web-Application.

Virtuoso Docker image

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

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.

scientific toolkit for Agent-Based Modeling in Economics

Eclipse RDF4J — independent third-party profile of a public API surface, by API Evangelist. 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 Workb

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.