Metadata-Version: 2.4
Name: sqlitegraph
Version: 0.1.0
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Programming Language :: Rust
Classifier: Topic :: Database :: Database Engines/Servers
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Dist: pytest>=8 ; extra == 'dev'
Requires-Dist: ruff>=0.6 ; extra == 'dev'
Requires-Dist: mypy>=1.10 ; extra == 'dev'
Requires-Dist: pytest>=8 ; extra == 'test'
Provides-Extra: dev
Provides-Extra: test
Summary: Embedded graph database with HNSW vector search — Python bindings to the sqlitegraph Rust crate.
Keywords: graph,database,sqlite,embedded,vector,hnsw
Author: Luiz Spies
License: GPL-3.0-only
Requires-Python: >=3.10
Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM
Project-URL: Documentation, https://docs.rs/sqlitegraph
Project-URL: Homepage, https://github.com/oldnordic/sqlitegraph
Project-URL: Repository, https://github.com/oldnordic/sqlitegraph

# sqlitegraph

Python bindings to the [`sqlitegraph`](https://crates.io/crates/sqlitegraph)
embedded graph database. Storage, graph algorithms, and HNSW vector search
run in a reviewed Rust core; this package is the Pythonic surface.

> Alpha — API subject to change before 1.0.

## Install

    pip install sqlitegraph

## Quick start

```python
from sqlitegraph import Graph

g = Graph.open_in_memory()
alice = g.add_node(kind="User", name="Alice", data={"age": 30})
order = g.add_node(kind="Order", name="Order-123")
g.add_edge(alice, order, "placed")

print(g.neighbors(alice))
```

A polished README with vector-search and code-metadata examples will land
alongside the first PyPI release.

