Skip to main content
NopalDB logo

NopalDB 🌵

PyPI Python PyPI downloads CI License

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

These wheels are built with the sled storage backend only. That is what Graph.open(...) uses, and it is the backend the project supports for production use.

The engine is selectable in the API — Graph.open_with_options(path, engine=...) — but engine="redb" raises ValueError on a wheel from PyPI, because that backend is not compiled in. redb is experimental: it exists behind a Cargo feature, is not enabled by default, and is still being qualified against the crash-recovery suite. To try it you must build from source:

pip install maturin
git clone https://github.com/sharop/nopaldb && cd nopaldb
maturin build --release --features python-full,storage-redb -m nopaldb/Cargo.toml

Treat such a build as an experiment, not as a supported configuration. The wheels on PyPI will ship redb once it clears its qualification gate.

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.

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.

Metadata

Release files for nopaldb 0.6.13

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for nopaldb 0.6.13
File Size Uploaded Provenance
nopaldb-0.6.13.tar.gz 773.1 kB With provenance Details

Built distributions (wheels)

Table of built distributions (wheels) for nopaldb 0.6.13
File
nopaldb-0.6.13-cp310-abi3-win_amd64.whl CPython 3.10 abi3 Windows x86-64 Details
nopaldb-0.6.13-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.10 abi3 Linux glibc 2.17+ x86-64 Details
nopaldb-0.6.13-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.10 abi3 Linux glibc 2.17+ ARM64 Details
nopaldb-0.6.13-cp310-abi3-macosx_11_0_arm64.whl CPython 3.10 abi3 macOS 11.0+ ARM64 Details
nopaldb-0.6.13-cp310-abi3-macosx_10_12_x86_64.whl CPython 3.10 abi3 macOS 10.12+ x86-64 Details

Total release size: 27.0 MB

Release files / nopaldb-0.6.13.tar.gz

Download URL nopaldb-0.6.13.tar.gz
Size 773.1 kB
Tags Source
SHA-256 checksum
How to use checksums
a85902df20c1f5485cfa74971b2ab88796dd7595fb6f6ac982d17ae4d54c5e4b
BLAKE2b-256 checksum
How to use checksums
4a55d12bd48f2f648b2864a52856b76ef33ba542c58528a0462238d9b6fd973a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 12, 2026.

Transparency log

Release files / nopaldb-0.6.13-cp310-abi3-win_amd64.whl

Download URL nopaldb-0.6.13-cp310-abi3-win_amd64.whl
Size 5.1 MB
Tags CPython 3.10 Windows x86-64 abi3
SHA-256 checksum
How to use checksums
8642c0ef152c3f9da758defb6fde5f8f17bb6405e2347e5457b3705dcb53d315
BLAKE2b-256 checksum
How to use checksums
52ba4119a2beb712ba1a0fa02900f28ff6ab222710774f5a84fd6940bd6f56b9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 12, 2026.

Transparency log

Release files / nopaldb-0.6.13-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL nopaldb-0.6.13-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 5.7 MB
Tags CPython 3.10 Linux glibc 2.17+ x86-64 abi3
SHA-256 checksum
How to use checksums
7343839d65e3d1af98eca749dbd50566215240ebdb0d2c46d4de820a3d541c46
BLAKE2b-256 checksum
How to use checksums
6f7a02482561c368f80812cc96ce4e532e24bdc56161d9d5311ee643811b937c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 12, 2026.

Transparency log

Release files / nopaldb-0.6.13-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL nopaldb-0.6.13-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 5.3 MB
Tags CPython 3.10 Linux glibc 2.17+ ARM64 abi3
SHA-256 checksum
How to use checksums
d97ba778c6bc4974c947d988afc0f41dbae5c9b77d6d01e34ff841e0dbc88159
BLAKE2b-256 checksum
How to use checksums
cba001e9f2530cc5bb6585a77fbf7812e31f4b180181be90c5a13941149e54e6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 12, 2026.

Transparency log

Release files / nopaldb-0.6.13-cp310-abi3-macosx_11_0_arm64.whl

Download URL nopaldb-0.6.13-cp310-abi3-macosx_11_0_arm64.whl
Size 4.8 MB
Tags CPython 3.10 abi3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
960709622c043fea34c517574024df1afebb5c29c3909974f900fb382b87a6ed
BLAKE2b-256 checksum
How to use checksums
cca5ede131dd7ccd86480ee6e0a540975a397cf9ad00c6c265e3c9c1a9e9661d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 12, 2026.

Transparency log

Release files / nopaldb-0.6.13-cp310-abi3-macosx_10_12_x86_64.whl

Download URL nopaldb-0.6.13-cp310-abi3-macosx_10_12_x86_64.whl
Size 5.4 MB
Tags CPython 3.10 abi3 macOS 10.12+ x86-64
SHA-256 checksum
How to use checksums
8763ae9cd23ef573e5d86c787606244b548b56c1f6d561e3dd1ac475538c0cb9
BLAKE2b-256 checksum
How to use checksums
b3aec6289b3f25519ca00b9524541bf23e3184c2eac69209c818ad9f6999f233
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 12, 2026.

Transparency log

Security for nopaldb 0.6.13

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 6 files in this release have been uploaded with provenance metadata.

Select from 6 files

Attestation for nopaldb-0.6.13.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 12, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Release history Release notifications | RSS feed

This release

0.6.13 This release

6 release files Full provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page