Lightweight embedded graph database with Cypher query support
Project description
CypherLite
SQLite-like simplicity for graph databases.
CypherLite is a lightweight, embedded, single-file graph database engine written in Rust with Python bindings via PyO3. Zero-config, ACID-compliant, with native Cypher query support.
Installation
pip install cypherlite
Pre-built wheels are available for:
- Linux (x86_64, aarch64)
- macOS (x86_64, arm64)
- Windows (x86_64)
Quick Start
import cypherlite
# Open (or create) a database
db = cypherlite.open("my_graph.cyl")
# Create nodes and relationships
db.execute("CREATE (a:Person {name: 'Alice', age: 30})")
db.execute("CREATE (b:Person {name: 'Bob', age: 25})")
db.execute("""
MATCH (a:Person {name: 'Alice'}), (b:Person {name: 'Bob'})
CREATE (a)-[:KNOWS {since: 2024}]->(b)
""")
# Query the graph
result = db.execute("MATCH (p:Person) RETURN p.name, p.age ORDER BY p.age")
for row in result:
print(f"{row['p.name']}: {row['p.age']}")
# Parameterized queries
result = db.execute(
"MATCH (p:Person) WHERE p.name = $name RETURN p.age",
params={"name": "Alice"}
)
# Transactions
tx = db.begin()
tx.execute("CREATE (c:Person {name: 'Charlie', age: 35})")
tx.commit()
db.close()
Features
- ACID Transactions with Write-Ahead Logging
- Cypher Queries: CREATE, MATCH, SET, DELETE, MERGE, WITH, ORDER BY, LIMIT
- Temporal Queries: AT TIME, BETWEEN TIME for point-in-time lookups
- Subgraph Snapshots: CREATE SNAPSHOT for graph state capture
- Hyperedges: Native N:M relationship support
- Plugin System: Custom scalar functions, triggers, serializers
- Single-file Database: Zero configuration, embedded in your application
Links
License
MIT OR Apache-2.0
Project details
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