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array-api-strict

library2.5pypypi✓ verified 89d ago

A strict, minimal implementation of the Python array API standard (version 2.5). Provides a reference implementation for the standard, enforcing the specification strictly. Has a maintenance release cadence with major updates approximately yearly.

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pip install array-api-strict

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INSTALL

IMPORT

SIG · ARRAY-API-STRICT

array-api-strict

datapythonv2.5

Install

3.6s avg

Import

279ms

Disk

90MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v2.5 · 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

py 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 0.268s · 90MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 3.6s · import 0.290s · 86MB

90MB installed

● package 90MB

Code

Verified usage

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

as_strict_package

✓ import array_api_strict as xp

✗ import array_api_strict as xp; from array_api_strict import arange

Most users treat the package as a namespace (like numpy), not importing individual functions.

create_array

✓ import array_api_strict as xp; a = xp.asarray([1,2,3])

✗ from array_api_strict import array

The 'array' function is not directly exported; use 'asarray' instead.

linalg

✓ from array_api_strict.linalg import ...

✗ from array_api_strict import linalg

Submodules like 'linalg' are not part of the top-level namespace; must be imported explicitly.

Create two 1-D arrays and compute their dot product using the array API standard functions.

import array_api_strict as xp def main(): a = xp.asarray([1, 2, 3]) b = xp.asarray([4, 5, 6]) c = xp.dot(a, b) print(c) if __name__ == '__main__': main()

Debug

Known issues

breakingVersion 2.0 removed many previously included functions that are not part of the official array API standard (e.g., trigonometric functions from the 'math' extension). Use a full array library like NumPy for those.

fix

Migrate to NumPy or another array library for non-standard functions.

affects: >=2.0

breakingarray-api-strict enforces strict data type promotion rules. Mixed type operations (e.g., int32 + float64) may raise errors instead of promoting.

fix

Ensure inputs have the same dtype or convert explicitly using xp.asarray(..., dtype=xp.float64).

affects: all

deprecatedThe 'finfo' function returned 'numpy.finfo' objects in older versions; now returns array API 'finfo' objects. Access methods like 'eps' via attribute, not key.

fix

Use finfo_obj.eps instead of finfo_obj['eps'].

affects: >=1.0

gotchaIndexing semantics differ from NumPy: array_api_strict does not support advanced indexing that results in a copy vs view ambiguity. All indexing returns a copy (no views).

fix

Do not rely on views; assign modified copies back to the original array if needed.

affects: all

Errors

Common errors & fixes

AttributeError: module 'array_api_strict' has no attribute 'array'

array_api_strict does not export a function called 'array'; use 'asarray' instead.

fix

Replace xp.array(...) with xp.asarray(...).

ValueError: Data type casting violation

Mixed dtype operation that violates strict casting rules.

fix

Explicitly convert inputs to the same dtype: xp.asarray(a, dtype=xp.float64) + b.

AttributeError: module 'array_api_strict' has no attribute 'linalg'

Linear algebra submodule is not in top-level namespace; must be imported.

fix

Add 'from array_api_strict.linalg import ...' before using linalg functions.

Upgrade

Version history

2.5latest on PyPI · released Feb 23, 2026

Audit

Dependencies

No dependency data recorded yet.

Agent activity

31 hits · last 30 days

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Resources

githubhttps://github.com/data-apis/array-api-strict ↗

packagehttps://pypi.org/project/array-api-strict/ ↗

homepagehttps://data-apis.org/array-api-strict/ ↗