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 0.6.4

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 0.6.4
File Size Uploaded Provenance
nopaldb-0.6.4.tar.gz 651.0 kB With provenance Details

Built distributions (wheels)

Table of built distributions (wheels) for nopaldb 0.6.4
File
nopaldb-0.6.4-cp310-abi3-win_amd64.whl CPython 3.10 abi3 Windows x86-64 Details
nopaldb-0.6.4-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.10 abi3 Linux glibc 2.17+ x86-64 Details
nopaldb-0.6.4-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.10 abi3 Linux glibc 2.17+ ARM64 Details
nopaldb-0.6.4-cp310-abi3-macosx_11_0_arm64.whl CPython 3.10 abi3 macOS 11.0+ ARM64 Details
nopaldb-0.6.4-cp310-abi3-macosx_10_12_x86_64.whl CPython 3.10 abi3 macOS 10.12+ x86-64 Details

Total release size: 25.4 MB

Release files / nopaldb-0.6.4.tar.gz

Download URL nopaldb-0.6.4.tar.gz
Size 651.0 kB
Tags Source
SHA-256 checksum
How to use checksums
97719691c1560fe6d62b25123559b13a6c7502353e3af270b73586f1e7d3a6ce
BLAKE2b-256 checksum
How to use checksums
2410aba79dc2063297f8495986e74a272879875c76ba87ba97532b3518a3ac9c
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 21, 2026.

Transparency log

Release files / nopaldb-0.6.4-cp310-abi3-win_amd64.whl

Download URL nopaldb-0.6.4-cp310-abi3-win_amd64.whl
Size 4.8 MB
Tags CPython 3.10 Windows x86-64 abi3
SHA-256 checksum
How to use checksums
864a9c4232e20a0ae3922d02ef87733414974987e0599188c5cd094e7ecbee10
BLAKE2b-256 checksum
How to use checksums
6c7f394f13f2c14f5edbb78f1fad057d8690276d3416ad1318bfc8fc3ab7d9ac
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 21, 2026.

Transparency log

Release files / nopaldb-0.6.4-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL nopaldb-0.6.4-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
d4d658abc6e18e7fcc4c931526e8189d33f8b9a18f11ab342f4668adcc90d724
BLAKE2b-256 checksum
How to use checksums
260ecb1cc27e4e9760ce9a4bafc463ccc451f901b6b0c4e8321db6aea1b939f2
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 21, 2026.

Transparency log

Release files / nopaldb-0.6.4-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL nopaldb-0.6.4-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
6b68f135b9624447618ca55dbc8fba643368d2b3285efef57297ab379c1dee9f
BLAKE2b-256 checksum
How to use checksums
7568cc221e05d718ca8e65a56eba2624e6028952ae266f706c09aac323d67600
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 21, 2026.

Transparency log

Release files / nopaldb-0.6.4-cp310-abi3-macosx_11_0_arm64.whl

Download URL nopaldb-0.6.4-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
cc68b91f939fc053558f00cdb933eef8a8720c8bea593a31e462c5e3a12f8b58
BLAKE2b-256 checksum
How to use checksums
4a5b911b5644b5a2e4eb612e03681219b7e46931bf0f047c6d5001122209e0d7
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 21, 2026.

Transparency log

Release files / nopaldb-0.6.4-cp310-abi3-macosx_10_12_x86_64.whl

Download URL nopaldb-0.6.4-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
4a839189134f51f3a91f7d499eaac0d8f947d49e2361054c4fafd7b05b1cf0eb
BLAKE2b-256 checksum
How to use checksums
ba974f5b045b583111a8635e330c16b886e7e94ffa7344043fedb581ab442bd2
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 21, 2026.

Transparency log

Security for nopaldb 0.6.4

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-0.6.4.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 21, 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

0.6.4 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