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 0.6.11

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 0.6.11
File Size Uploaded Provenance
nopaldb-0.6.11.tar.gz 759.5 kB With provenance Details

Built distributions (wheels)

Table of built distributions (wheels) for nopaldb 0.6.11
File
nopaldb-0.6.11-cp310-abi3-win_amd64.whl CPython 3.10 abi3 Windows x86-64 Details
nopaldb-0.6.11-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.10 abi3 Linux glibc 2.17+ x86-64 Details
nopaldb-0.6.11-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.10 abi3 Linux glibc 2.17+ ARM64 Details
nopaldb-0.6.11-cp310-abi3-macosx_11_0_arm64.whl CPython 3.10 abi3 macOS 11.0+ ARM64 Details
nopaldb-0.6.11-cp310-abi3-macosx_10_12_x86_64.whl CPython 3.10 abi3 macOS 10.12+ x86-64 Details

Total release size: 26.9 MB

Release files / nopaldb-0.6.11.tar.gz

Download URL nopaldb-0.6.11.tar.gz
Size 759.5 kB
Tags Source
SHA-256 checksum
How to use checksums
09eef25c3ee1ad746e018c76366c8ed66f5c71bf2fe3ccd44a24dc84b276d8a8
BLAKE2b-256 checksum
How to use checksums
a6d5ccb77b281d835aacaeb404fe3c6795e0eadfbd40e1049f6ca011f5e184c6
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 9, 2026.

Transparency log

Release files / nopaldb-0.6.11-cp310-abi3-win_amd64.whl

Download URL nopaldb-0.6.11-cp310-abi3-win_amd64.whl
Size 5.1 MB
Tags CPython 3.10 Windows x86-64 abi3
SHA-256 checksum
How to use checksums
c0a95bedcb1ee894232515a154016456239b1d4218403098ca96f1ea0c7a18a2
BLAKE2b-256 checksum
How to use checksums
cf6507076fb4c3c85ca91b63fe724ec7bb6fd3c8e003960a0f12c58e35c8d951
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 9, 2026.

Transparency log

Release files / nopaldb-0.6.11-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL nopaldb-0.6.11-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
01706fc0ece411232da48a07c12c70761d6eeb3b7bff5ae6264ffe89af39e76f
BLAKE2b-256 checksum
How to use checksums
13eaad6f4da2f738a787b3c6e348dc7d3fd0dce6af20e5a3679222085a693f39
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 9, 2026.

Transparency log

Release files / nopaldb-0.6.11-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL nopaldb-0.6.11-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
47ea716c076574bdb3d726cae9a579c05b9b7be5ef62deacabd8ed44ac268b1b
BLAKE2b-256 checksum
How to use checksums
6c9ecc447edaa5f342445449c04e82a68f414c932ba45f9d0a25da4ed107e1a3
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 9, 2026.

Transparency log

Release files / nopaldb-0.6.11-cp310-abi3-macosx_11_0_arm64.whl

Download URL nopaldb-0.6.11-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
b6259d3908cdf6d53a834857a900039c8e7085dcb2fe6f5a90c46a8d3025180c
BLAKE2b-256 checksum
How to use checksums
d807632b845c36c168ea15965fb8e0f5934a1dc0bd3467e6ce493a2155cdf3f1
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 9, 2026.

Transparency log

Release files / nopaldb-0.6.11-cp310-abi3-macosx_10_12_x86_64.whl

Download URL nopaldb-0.6.11-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
ae1c8f0083185eba23662abdb7c20b0d419403626f1503747d8a220191f220cb
BLAKE2b-256 checksum
How to use checksums
11f312d1e8e0c944490c9b0ddcd473d821b5e69a78a1b62cd2acdd70428b0db2
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 9, 2026.

Transparency log

Security for nopaldb 0.6.11

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-0.6.11.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 9, 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

0.6.11 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