vortex-data

library0.75.0pypypi✓ verified 86d ago

Vortex Data (`vortex-data`) provides Python bindings for Vortex, an Apache Arrow-compatible toolkit designed for working with compressed array data. It focuses on efficient storage, processing, and retrieval of large datasets, often used in scenarios requiring high-performance data analytics and database systems. The library is actively developed with frequent, often monthly, releases, currently at version 0.68.0.

data serialization database ai-ml

pip install vortex-data

github ↗package ↗homepage ↗docs ↗changelog ↗

INSTALL

IMPORT

SIG · VORTEX-DATA

vortex-data

datapythonv0.75.0

Install

5.2s avg

Import

413ms

Disk

255MB

Pass rate

4/ 10

Env Coverage4 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v0.33.2 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

glibc

py 3.10

✕ build_error

✓ 6.03s

py 3.11

✕ build_error

✓ 5.68s

py 3.12

✕ build_error

✓ 4.58s

py 3.13

✕ build_error

✓ 4.53s

py 3.9

✕ build_error

255MB installed

● package 255MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

vortex

✓ import vortex

array

✓ import vortex.array

✗ from vortex.array import Array

The core Array class was renamed to DynArray in v0.62.0; it's recommended to use factory functions like vortex.array.array() or vortex.array.scalar().

Demonstrates creating Vortex arrays from scalars and NumPy arrays, and converting them to Apache Arrow arrays.

import vortex import numpy as np # Create a Vortex scalar array with an explicit dtype scalar_arr = vortex.array.scalar(10, dtype=vortex.DType.Int32) print(f"Scalar Array: {scalar_arr}\n") # Create a Vortex array from a NumPy array numpy_arr = np.arange(10, dtype=np.int32) complex_arr = vortex.array.array(numpy_arr) print(f"Array from NumPy: {complex_arr}\n") # Get its size and convert to Apache Arrow print(f"Size in bytes: {complex_arr.nbytes}\n") arrow_array = complex_arr.to_arrow() print(f"Converted to Arrow: {arrow_array}")

Debug

Known issues

breakingThe core `Array` class was renamed to `DynArray` in version 0.62.0. Direct imports or references to `vortex.array.Array` will result in an `AttributeError`.

fix

Use factory functions like `vortex.array.array()` or `vortex.array.scalar()` to create arrays. If direct class interaction is necessary, use `vortex.array.DynArray`.

affects: >=0.62.0

breakingThe compute functions API underwent significant changes in version 0.61.0, with many public functions being removed, renamed, or refactored. Code relying on previous compute APIs will likely break.

fix

Consult the latest Vortex documentation for the updated compute API. Functions might have moved, changed signatures, or been removed entirely.

affects: >=0.61.0

breakingThe serialization API for Vortex arrays changed in version 0.68.0. The `serialize` method was moved from the `Array` object to `ArrayPlugin::Serialize`.

fix

Refactor serialization logic to use the `ArrayPlugin` interface. The direct `array.serialize()` method is no longer available.

affects: >=0.68.0

breakingThe `vortex-scan` API was refactored in version 0.66.0 to be exclusively focused on the Scan API, potentially affecting modules or functions related to scanning outside this scope.

fix

Review usage of `vortex-scan` related functionalities and adapt to the streamlined Scan API as per the latest documentation.

affects: >=0.66.0

Errors

Common errors & fixes

AttributeError: module 'vortex.array' has no attribute 'Array'

Attempting to import or use the `Array` class directly after it was renamed to `DynArray` or its usage pattern shifted.

fix

Use `vortex.array.array()` or `vortex.array.scalar()` to create array instances. For direct class reference, use `vortex.array.DynArray`.

TypeError: 'vortex.array.DynArray' object has no attribute 'serialize'

Calling the old `serialize` method directly on a Vortex array instance, which was removed and moved to a plugin interface in v0.68.0.

fix

The serialization API has changed. Refer to the Vortex documentation for the correct way to serialize arrays using `ArrayPlugin`.

NameError: name 'old_compute_function' is not defined (or similar AttributeError on vortex.compute)

Using a compute function that was removed, renamed, or significantly refactored in version 0.61.0 or later.

fix

Consult the latest Vortex documentation for the updated compute API. Many functions might have changed names, signatures, or been removed.

Upgrade

Version history

0.75.0latest on PyPI · released Jun 12, 2026

Audit

Dependencies

numpyoptionalCommonly used for creating input arrays; required for the quickstart example.

Agent activity

32 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/vortex-data/vortex ↗

packagehttps://pypi.org/project/vortex-data/ ↗

homepagehttps://vortex-data.org ↗

docshttps://docs.vortex.dev ↗

changeloghttps://github.com/vortex-data/vortex/blob/develop/CHANGELOG.md ↗