GestaltDB

Coverage

GestaltDB is a pure Python graph database toolkit for attributed graphs. It stores nodes, edges, labels, typed adjacency records, and property indexes on embedded key-value backends.

Documentation: https://mylonasc.github.io/gestaltdb/

Install

From a local checkout:

uv sync

Install into another project:

uv add /path/to/gestaltdb

With pip:

python -m pip install /path/to/gestaltdb

Optional extras include lmdb, leveldb, rocksdb, arrow, polars, fast-ingest, msgpack, protobuf, bloom, docs, dev, and all.

Quick Example

from gestaltdb.graphdb import Edge, GraphDB, Node
from gestaltdb.kvstores import LMDBStore
from gestaltdb.serializers import PickleSerializer

graph = GraphDB(LMDBStore(path="example_lmdb"), PickleSerializer())

graph.put_node(Node(node_id="alice", labels=["Person"], properties={"name": "Alice"}))
graph.put_node(Node(node_id="bob", labels=["Person"], properties={"name": "Bob"}))
graph.put_edge(Edge(
    edge_id="alice-knows-bob",
    source="alice",
    target="bob",
    properties={"type": "knows", "since": 2024},
))

result = graph.query('MATCH (a:Person {name: "Alice"}) MATCH (a)-[:knows]->(b) RETURN a.id, b.name')
print(result.records)

graph.close()

Features

Attributed Node and Edge objects with stable IDs.
Native node labels and typed edge traversal through edge.properties["type"].
LMDB, LevelDB, and RocksDB/PyRex storage backends.
Pickle, JSON, MessagePack, and Protobuf serializers.
Label, relationship type, property, composite, and range indexes.
Read-only Cypher subset for indexed scans, typed traversal, filtering, ordering, limits, and chained MATCH clauses.
Bulk and columnar ingestion helpers.
Typed path and subgraph sampling.

See the full documentation for backend selection, indexing, Cypher syntax, ingestion, sampling, and benchmarks.

Name origin

The name GestaltDB is inspired by Gestalt psychology and the idea that the whole is something more than its parts.

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