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array-api-extra

Extra array functions built on top of the array API standard.

Worth itPyPI Scientific/EngineeringReleased Aug 2026105.7K downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — array_api_extra-0.11.1-py3-none-any.whl
v0.11.1 · released 2026-08-12 · Python >=3.11 · 1 runtime deps: array-api-compat

Yes. The package is actively maintained, has low install friction, carries a permissive MIT license, and is already trusted by major projects like SciPy and scikit-learn. Install it when you need array operations that work across multiple backends or are building a library that should not depend on NumPy directly.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.11 or later; works only with array libraries that implement the array API standard.
  • Low friction install with a single runtime dependency (array-api-compat).
  • Active maintenance with a release 2 days old as of the fact sheet date, and support for current Python versions (3.11 through 3.14).

License · maintenance · safety

MIT (permissive) — MIT license permits commercial and private use with minimal restrictions, making it suitable for integration into proprietary or open-source projects without licensing friction.

last release 2026-08-12 (2 days) · last repo commit 2026-08-14 · 33 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 105,689 downloads/mo, #12,686 on PyPI

Verify before relying

pip install array-api-extra

import array_api_extra as aae
# Use aae functions with any array-api-compliant array library
  • Which specific array functions are provided beyond what array-api-compat offers.
  • Performance characteristics or overhead compared to direct NumPy calls.
  • Scope of array API standard coverage (full or partial).
Same gist for agents: .md · .json

What it is and what it does

array-api-extra extends the array API standard with additional utility functions, allowing developers to write array code that works across multiple backends (NumPy, CuPy, JAX, etc.) without lock-in to a single library. It sits on top of array-api-compat and is designed for libraries that need portable array operations.

The package is actively maintained and used by major scientific Python projects including SciPy, scikit-learn, and others. It requires Python 3.11 or later and carries an MIT license, making it safe to depend on in both open and closed projects.

Use it for

  • Build a library that works with multiple array backends without importing NumPy directly.
  • Migrate numerical code from NumPy to a backend-agnostic implementation.
  • Extend array-api-compat with domain-specific array operations for scientific computing.
  • Develop GPU-accelerated code that can fall back to CPU arrays transparently.
  • Create array utilities for machine learning frameworks that support multiple backends.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

The package is actively maintained, has low install friction, carries a permissive MIT license, and is already trusted by major projects like SciPy and scikit-learn. Install it when you need array operations that work across multiple backends or are building a library that should not depend on NumPy directly.

Install

array-api-extra on PyPI

Before you install

Low friction install with a single runtime dependency (array-api-compat). Active maintenance with a release 2 days old as of the fact sheet date, and support for current Python versions (3.11 through 3.14).

Requires Python 3.11 or later; works only with array libraries that implement the array API standard.

License in practice

MIT license permits commercial and private use with minimal restrictions, making it suitable for integration into proprietary or open-source projects without licensing friction.

Quickstart

pip install array-api-extra

import array_api_extra as aae
# Use aae functions with any array-api-compliant array library

Verify before relying

  • Which specific array functions are provided beyond what array-api-compat offers.
  • Performance characteristics or overhead compared to direct NumPy calls.
  • Scope of array API standard coverage (full or partial).

Package facts

LicenseMIT permissive
Python supportSupports the current Python release >=3.11
Install frictionLow. Pure-Python wheel
Runtime dependencies
1 package
array-api-compat
MaintenanceActively maintained 2 days since the last release
Last repo commit
First released
Downloads105,689 / month, #12,686 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Intended Audience :: DevelopersOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: Free Threading :: 3 - StableTyping :: Typed

Evidence: array_api_extra-0.11.1-py3-none-any.whl

Tags

Capabilities
array api standard functionsbackend-agnostic array operationsarray api extra utilitiesnumpy-independent array functionsarray api compatibility layer
Topics
array-api-standardbackend-agnosticscientific-computing

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See also array-api-strict · array-api-compat · awkward-cpp · pyerfa · numpy-quaternion · scikit-learn-extra · convertertools · dataframe-api-compat · arraykit · ndindex