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 0.6.3

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 0.6.3
File Size Uploaded Provenance
nopaldb-0.6.3.tar.gz 646.4 kB With provenance Details

Built distributions (wheels)

Table of built distributions (wheels) for nopaldb 0.6.3
File
nopaldb-0.6.3-cp310-abi3-win_amd64.whl CPython 3.10 abi3 Windows x86-64 Details
nopaldb-0.6.3-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.10 abi3 Linux glibc 2.17+ x86-64 Details
nopaldb-0.6.3-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.10 abi3 Linux glibc 2.17+ ARM64 Details
nopaldb-0.6.3-cp310-abi3-macosx_11_0_arm64.whl CPython 3.10 abi3 macOS 11.0+ ARM64 Details
nopaldb-0.6.3-cp310-abi3-macosx_10_12_x86_64.whl CPython 3.10 abi3 macOS 10.12+ x86-64 Details

Total release size: 25.3 MB

Release files / nopaldb-0.6.3.tar.gz

Download URL nopaldb-0.6.3.tar.gz
Size 646.4 kB
Tags Source
SHA-256 checksum
How to use checksums
0c73636aef3cfb2e044186dd661d27816fd3d47f3772b8aa8602c3bc117ed7f6
BLAKE2b-256 checksum
How to use checksums
528363d9bf907dc756e64807c8eab55aab938902ca8fad33d2739b16a000d14d
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 Sep 20, 2026.

Transparency log

Release files / nopaldb-0.6.3-cp310-abi3-win_amd64.whl

Download URL nopaldb-0.6.3-cp310-abi3-win_amd64.whl
Size 4.8 MB
Tags CPython 3.10 Windows x86-64 abi3
SHA-256 checksum
How to use checksums
81cb93cbd6ad21f9921487b4632c195d8258d8c2eb2bcc7557c18fd6a585fd2c
BLAKE2b-256 checksum
How to use checksums
45801d47edf4f6a3e00adb38d976e4fb46d3a94239fc29a6c5d22c82fc6a43ca
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 Sep 20, 2026.

Transparency log

Release files / nopaldb-0.6.3-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL nopaldb-0.6.3-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 5.4 MB
Tags CPython 3.10 Linux glibc 2.17+ x86-64 abi3
SHA-256 checksum
How to use checksums
5c5b1750e372e64169f038e24d16e140aa5e76d67f675c495d8ec4f187a9de8e
BLAKE2b-256 checksum
How to use checksums
ffe0877373524fbedc9d67417b1da5d4a661cc4a8054b01ca9d7a7d4d68c03c8
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 Sep 20, 2026.

Transparency log

Release files / nopaldb-0.6.3-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL nopaldb-0.6.3-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 5.0 MB
Tags CPython 3.10 Linux glibc 2.17+ ARM64 abi3
SHA-256 checksum
How to use checksums
1d7b7031cac8d30f8782b4783f0e1ff43b9ce3db4e41df4712250634ea1761e6
BLAKE2b-256 checksum
How to use checksums
50210281c4f50dd8c7a666ef4d1cbf884b3f9eb225a8a218fda2bb7082e71673
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 Sep 20, 2026.

Transparency log

Release files / nopaldb-0.6.3-cp310-abi3-macosx_11_0_arm64.whl

Download URL nopaldb-0.6.3-cp310-abi3-macosx_11_0_arm64.whl
Size 4.5 MB
Tags CPython 3.10 abi3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
4468125f5d50097d5e393373cf93c3743de9d4f20c0e386822ac7e614e883c01
BLAKE2b-256 checksum
How to use checksums
036772111be19b1f40105f39d7aac9d7b2adefe5e58ac8ff69ecb255a99d7739
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 Sep 20, 2026.

Transparency log

Release files / nopaldb-0.6.3-cp310-abi3-macosx_10_12_x86_64.whl

Download URL nopaldb-0.6.3-cp310-abi3-macosx_10_12_x86_64.whl
Size 5.0 MB
Tags CPython 3.10 abi3 macOS 10.12+ x86-64
SHA-256 checksum
How to use checksums
361090c25cc30771c1ed6bb45c8313a47c157425b602057b38e5d4427c5e7cad
BLAKE2b-256 checksum
How to use checksums
49b323590ec1a7f77cf21152d0f765b0076e007a88c798d8d4d675d69aea9531
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 Sep 20, 2026.

Transparency log

Security for nopaldb 0.6.3

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-0.6.3.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 Sep 20, 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

0.6.3 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