NopalDB 🌵
High-performance embedded graph database for Python, written in Rust: ACID transactions, MVCC time-travel, a Cypher-like query language (NQL), vector search, and zero-copy Apache Arrow export for ML pipelines.
Runs in-process — no server to deploy. One pip install, one file on disk.
Install
pip install nopaldb
Prebuilt wheels for Linux (x86_64/aarch64), macOS (Intel/Apple Silicon) and Windows, for CPython 3.10+ (abi3: one wheel per platform covers all versions).
What the wheel contains
The wheels use redb, the only storage engine since 0.8.0, with every
optional tier compiled in (reasoner, OWL import, SHACL, embeddings + HNSW,
full-text, algorithms, analytics). Graph.open(...) creates or opens a redb
database.
Databases created with 0.5.x (sled engine). sled was removed in 0.8.0. Opening such a database raises an error that says so. Migrate it once with 0.7, the last version that reads sled, then open the copy with 0.8+:
pip install "nopaldb==0.7.*"
python -c "import nopaldb; print(nopaldb.Graph.migrate('old.db', 'new.db')['verified'])"
pip install -U nopaldb
Quickstart
import nopaldb
graph = nopaldb.Graph.open("./data.db")
# ACID transactions
tx = graph.begin_transaction()
alice = tx.add_node("Person", {"name": "Alice", "age": 30})
bob = tx.add_node("Person", {"name": "Bob", "age": 25})
tx.add_edge(alice, bob, "KNOWS")
tx.commit()
# Query with NQL
result = graph.execute_nql("""
find p.name, p.age
from (p:Person)
where p.age > 25
""")
for row in result:
print(f"{row['p.name']}: {row['p.age']}")
graph.close()
Isolation levels
tx = graph.begin_transaction(isolation="serializable")
# read_committed (default) | repeatable_read | serializable | read_uncommitted
Serializable transactions detect write conflicts and deadlocks; see the durability guarantees and isolation guide.
Arrow / ML pipelines
import pyarrow as pa
arrow_bytes = graph.to_arrow(label="Person")
batch = pa.ipc.open_stream(arrow_bytes).read_next_batch()
df = batch.to_pandas() # zero-copy into Pandas / Polars / PyTorch pipelines
Good to know
- One process per data directory (embedded file lock). Threads within the process run in parallel — the bindings release the GIL during database calls.
- Use
graph.bulk_loader(batch_size)for large ingestions. - Time-travel: MVCC version history is queryable; old versions are garbage collected on demand.
Links
- Repository & docs: https://github.com/sharop/nopaldb
- Adoption guide: https://github.com/sharop/nopaldb/blob/main/docs/ADOPTION.md
- NQL reference: https://github.com/sharop/nopaldb/blob/main/docs/en/NQL_REFERENCE.md
- Rust crate: https://crates.io/crates/nopaldb
License: MPL-2.0 (the nopaldb library — this repository in its entirety). The companion ecosystem apps (MCP server, NDBStudio) are AGPL-3.0-only and live in their own repositories: https://github.com/Anxious-Mind-Group/nopaldb-mcp · https://github.com/Anxious-Mind-Group/ndbstudio. Releases ≤ 0.4.31 were AGPL-3.0-only. NopalDB™ is a trademark of Sergio Haro Pérez.
1 maintainer
Metadata
1 maintainer
Release files for nopaldb 0.8.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| nopaldb-0.8.3.tar.gz | 821.1 kB | With provenance | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| nopaldb-0.8.3-cp310-abi3-win_amd64.whl | CPython 3.10 | abi3 | Windows x86-64 | Details |
| nopaldb-0.8.3-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.10 | abi3 | Linux glibc 2.17+ x86-64 | Details |
| nopaldb-0.8.3-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl | CPython 3.10 | abi3 | Linux glibc 2.17+ ARM64 | Details |
| nopaldb-0.8.3-cp310-abi3-macosx_11_0_arm64.whl | CPython 3.10 | abi3 | macOS 11.0+ ARM64 | Details |
| nopaldb-0.8.3-cp310-abi3-macosx_10_12_x86_64.whl | CPython 3.10 | abi3 | macOS 10.12+ x86-64 | Details |
Total release size: 26.1 MB
Release files / nopaldb-0.8.3.tar.gz
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