https://github.com/groc-prog/loomql

LoomQL is a modern Python ORM for graph databases (Neo4j 5+ and Memgraph 3+) that combines Pythonic syntax with Cypher's full power. Designed for developers who want both productivity and control.
https://github.com/groc-prog/loomql

graph-database memgraph neo4j pydantic-v2 python

Last synced: 10 days ago
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LoomQL is a modern Python ORM for graph databases (Neo4j 5+ and Memgraph 3+) that combines Pythonic syntax with Cypher's full power. Designed for developers who want both productivity and control.

• Host: GitHub
• URL: https://github.com/groc-prog/loomql
• Owner: groc-prog
• License: mit
• Created: 2025-06-12T17:49:41.000Z (15 days ago)
• Default Branch: main
• Last Pushed: 2025-06-12T19:49:31.000Z (14 days ago)
• Last Synced: 2025-06-12T21:02:50.438Z (14 days ago)
• Topics: graph-database, memgraph, neo4j, pydantic-v2, python
• Homepage: https://github.com/groc-prog/loomql
• Size: 23.4 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# LoomQL · [![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)

> *🧵 Weaving Pythonic queries for Neo4j and Memgraph*

**LoomQL** is a modern Python ORM for graph databases ([`Neo4j 5+`](https://neo4j.com/docs/) and [`Memgraph 3+`](https://memgraph.com/docs)) that combines Pythonic syntax with Cypher's full power. Designed for developers who want both productivity and control.

⚠️ **Note:** LoomQL is under **active development** and not yet available on PyPI.

## What LoomQL aims for

### 🛠️ Developer Experience

- **Pythonic syntax** - Method chaining instead of string-based Cypher

- **Intuitive API** - Designed for ease of use in all scenarios

- **Fully typed** - Comprehensive type hints for models, queries, and results

### ⚡ Core Features

- **Dual backend** - Supports both Neo4j 5+ and Memgraph

- **Async-first** - Built on (but not limited to) Neo4j/Memgraph's async drivers

- **Batched operations** - Efficient bulk creates/updates

### 🛡️ Data Integrity

- **Pydantic-powered** - Built-in validation and serialization ([`Pydantic 2+`](https://docs.pydantic.dev/latest/))

- **Powerful validation** - Field constraints and custom validators

### 🗃️ Schema Management

- **Built-in migrations** - Simple but flexible schema evolution