Manifest-driven schema & ingestion for labeled property graphs (GSTL): define once in YAML/Python, ingest from CSV/SQL/RDF/SPARQL/API, load to ArangoDB, Neo4j, TigerGraph, FalkorDB, Memgraph, or NebulaGraph.
Absurdly fast embedded graph database with built-in vector search. Rust core, Node.js and Python connectors, GQL, graph algorithms, all in-process with no server.
Graphyne is a smart graph - a property graph capable to actively reacting to changes and incorporating decision making logic, written in Python. It is designed to be easy to integrate into your Python projects, simple to use and very powerful. It uses Memetic as its graph definition and query language. It is capable of running with or without persistence.
