numpy

NumPy is the fundamental package for scientific computing with Python.

Website: https://numpy.org
Documentation: https://numpy.org/doc
Mailing list: https://mail.python.org/mailman/listinfo/numpy-discussion
Source code: https://github.com/numpy/numpy
Contributing: https://numpy.org/devdocs/dev/index.html
Bug reports: https://github.com/numpy/numpy/issues
Report a security vulnerability: https://github.com/numpy/numpy/security/policy (via Tidelift)

It provides:

a powerful N-dimensional array object
sophisticated (broadcasting) functions
tools for integrating C/C++ and Fortran code
useful linear algebra, Fourier transform, and random number capabilities

Testing:

NumPy requires pytest and hypothesis. Tests can then be run after installation with:

python -c "import numpy, sys; sys.exit(numpy.test() is False)"

Code of Conduct

NumPy is a community-driven open source project developed by a diverse group of contributors. The NumPy leadership has made a strong commitment to creating an open, inclusive, and positive community. Please read the NumPy Code of Conduct for guidance on how to interact with others in a way that makes our community thrive.

Call for Contributions

The NumPy project welcomes your expertise and enthusiasm!

Small improvements or fixes are always appreciated. If you are considering larger contributions to the source code, please contact us through the mailing list first.

Writing code isn’t the only way to contribute to NumPy. You can also:

review pull requests
help us stay on top of new and old issues
develop tutorials, presentations, and other educational materials
maintain and improve our website
develop graphic design for our brand assets and promotional materials
translate website content
help with outreach and onboard new contributors
write grant proposals and help with other fundraising efforts

For more information about the ways you can contribute to NumPy, visit our website. If you’re unsure where to start or how your skills fit in, reach out! You can ask on the mailing list or here, on GitHub, by opening a new issue or leaving a comment on a relevant issue that is already open.

Our preferred channels of communication are all public, but if you’d like to speak to us in private first, contact our community coordinators at numpy-team@googlegroups.com or on Slack (write numpy-team@googlegroups.com for an invitation).

We also have a biweekly community call, details of which are announced on the mailing list. You are very welcome to join.

If you are new to contributing to open source, this guide helps explain why, what, and how to successfully get involved.

Metadata

Release files for numpy 2.5.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for numpy 2.5.4
File	Size	Uploaded
numpy-2.5.4.tar.gz	20.9 MB	Oct 10, 2026	Details

Built distributions (wheels)

Table of built distributions (wheels) for numpy 2.5.4
File	Interpreter	ABI	Platform	Reset
numpy-2.5.4-cp315-cp315t-win_arm64.whl 10.9 MB Oct 10, 2026	CPython 3.15	CPython 3.15 free-threading	Windows ARM64	Details
numpy-2.5.4-cp315-cp315t-win_amd64.whl 12.9 MB Oct 10, 2026	CPython 3.15	CPython 3.15 free-threading	Windows x86-64	Details
numpy-2.5.4-cp315-cp315t-win32.whl 6.3 MB Oct 10, 2026	CPython 3.15	CPython 3.15 free-threading	Windows x86-32	Details
numpy-2.5.4-cp315-cp315t-musllinux_1_2_x86_64.whl 18.5 MB Oct 10, 2026	CPython 3.15	CPython 3.15 free-threading	Linux musl 1.2+ x86-64	Details
numpy-2.5.4-cp315-cp315t-musllinux_1_2_aarch64.whl 17.1 MB Oct 10, 2026	CPython 3.15	CPython 3.15 free-threading	Linux musl 1.2+ ARM64	Details
numpy-2.5.4-cp315-cp315t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 16.8 MB Oct 10, 2026	CPython 3.15	CPython 3.15 free-threading	Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64	Details
numpy-2.5.4-cp315-cp315t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl 15.8 MB Oct 10, 2026	CPython 3.15	CPython 3.15 free-threading	Linux glibc 2.27+ ARM64, Linux glibc 2.28+ ARM64	Details
numpy-2.5.4-cp315-cp315t-macosx_14_0_x86_64.whl 6.9 MB Oct 10, 2026	CPython 3.15	CPython 3.15 free-threading	macOS 14.0+ x86-64	Details
numpy-2.5.4-cp315-cp315t-macosx_14_0_arm64.whl 5.6 MB Oct 10, 2026	CPython 3.15	CPython 3.15 free-threading	macOS 14.0+ ARM64	Details
numpy-2.5.4-cp315-cp315t-macosx_11_0_arm64.whl 12.1 MB Oct 10, 2026	CPython 3.15	CPython 3.15 free-threading	macOS 11.0+ ARM64	Details
numpy-2.5.4-cp315-cp315t-macosx_10_15_x86_64.whl 17.1 MB Oct 10, 2026	CPython 3.15	CPython 3.15 free-threading	macOS 10.15+ x86-64	Details
numpy-2.5.4-cp315-cp315-win_arm64.whl 10.8 MB Oct 10, 2026	CPython 3.15	CPython 3.15	Windows ARM64	Details
numpy-2.5.4-cp315-cp315-win_amd64.whl 12.7 MB Oct 10, 2026	CPython 3.15	CPython 3.15	Windows x86-64	Details
numpy-2.5.4-cp315-cp315-win32.whl 6.2 MB Oct 10, 2026	CPython 3.15	CPython 3.15	Windows x86-32	Details
numpy-2.5.4-cp315-cp315-musllinux_1_2_x86_64.whl 18.5 MB Oct 10, 2026	CPython 3.15	CPython 3.15	Linux musl 1.2+ x86-64	Details
numpy-2.5.4-cp315-cp315-musllinux_1_2_aarch64.whl 17.1 MB Oct 10, 2026	CPython 3.15	CPython 3.15	Linux musl 1.2+ ARM64	Details
numpy-2.5.4-cp315-cp315-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 16.7 MB Oct 10, 2026	CPython 3.15	CPython 3.15	Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64	Details
numpy-2.5.4-cp315-cp315-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl 15.7 MB Oct 10, 2026	CPython 3.15	CPython 3.15	Linux glibc 2.27+ ARM64, Linux glibc 2.28+ ARM64	Details
numpy-2.5.4-cp315-cp315-macosx_14_0_x86_64.whl 6.8 MB Oct 10, 2026	CPython 3.15	CPython 3.15	macOS 14.0+ x86-64	Details
numpy-2.5.4-cp315-cp315-macosx_14_0_arm64.whl 5.5 MB Oct 10, 2026	CPython 3.15	CPython 3.15	macOS 14.0+ ARM64	Details
numpy-2.5.4-cp315-cp315-macosx_11_0_arm64.whl 12.0 MB Oct 10, 2026	CPython 3.15	CPython 3.15	macOS 11.0+ ARM64	Details
numpy-2.5.4-cp315-cp315-macosx_10_15_x86_64.whl 17.0 MB Oct 10, 2026	CPython 3.15	CPython 3.15	macOS 10.15+ x86-64	Details
numpy-2.5.4-cp314-cp314t-win_arm64.whl 10.9 MB Oct 10, 2026	CPython 3.14	CPython 3.14 free-threading	Windows ARM64	Details
numpy-2.5.4-cp314-cp314t-win_amd64.whl 12.9 MB Oct 10, 2026	CPython 3.14	CPython 3.14 free-threading	Windows x86-64	Details
numpy-2.5.4-cp314-cp314t-win32.whl 6.3 MB Oct 10, 2026	CPython 3.14	CPython 3.14 free-threading	Windows x86-32	Details
numpy-2.5.4-cp314-cp314t-musllinux_1_2_x86_64.whl 18.5 MB Oct 10, 2026	CPython 3.14	CPython 3.14 free-threading	Linux musl 1.2+ x86-64	Details
numpy-2.5.4-cp314-cp314t-musllinux_1_2_aarch64.whl 17.1 MB Oct 10, 2026	CPython 3.14	CPython 3.14 free-threading	Linux musl 1.2+ ARM64	Details
numpy-2.5.4-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 16.8 MB Oct 10, 2026	CPython 3.14	CPython 3.14 free-threading	Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64	Details
numpy-2.5.4-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl 15.8 MB Oct 10, 2026	CPython 3.14	CPython 3.14 free-threading	Linux glibc 2.27+ ARM64, Linux glibc 2.28+ ARM64	Details
numpy-2.5.4-cp314-cp314t-macosx_14_0_x86_64.whl 6.9 MB Oct 10, 2026	CPython 3.14	CPython 3.14 free-threading	macOS 14.0+ x86-64	Details
numpy-2.5.4-cp314-cp314t-macosx_14_0_arm64.whl 5.6 MB Oct 10, 2026	CPython 3.14	CPython 3.14 free-threading	macOS 14.0+ ARM64	Details
numpy-2.5.4-cp314-cp314t-macosx_11_0_arm64.whl 12.1 MB Oct 10, 2026	CPython 3.14	CPython 3.14 free-threading	macOS 11.0+ ARM64	Details
numpy-2.5.4-cp314-cp314-win_arm64.whl 10.8 MB Oct 10, 2026	CPython 3.14	CPython 3.14	Windows ARM64	Details
numpy-2.5.4-cp314-cp314-win_amd64.whl 12.7 MB Oct 10, 2026	CPython 3.14	CPython 3.14	Windows x86-64	Details
numpy-2.5.4-cp314-cp314-win32.whl 6.2 MB Oct 10, 2026	CPython 3.14	CPython 3.14	Windows x86-32	Details
numpy-2.5.4-cp314-cp314-musllinux_1_2_x86_64.whl 18.5 MB Oct 10, 2026	CPython 3.14	CPython 3.14	Linux musl 1.2+ x86-64	Details
numpy-2.5.4-cp314-cp314-musllinux_1_2_aarch64.whl 17.1 MB Oct 10, 2026	CPython 3.14	CPython 3.14	Linux musl 1.2+ ARM64	Details
numpy-2.5.4-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 16.7 MB Oct 10, 2026	CPython 3.14	CPython 3.14	Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64	Details
numpy-2.5.4-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl 15.7 MB Oct 10, 2026	CPython 3.14	CPython 3.14	Linux glibc 2.28+ ARM64, Linux glibc 2.27+ ARM64	Details
numpy-2.5.4-cp314-cp314-macosx_14_0_x86_64.whl 6.8 MB Oct 10, 2026	CPython 3.14	CPython 3.14	macOS 14.0+ x86-64	Details
numpy-2.5.4-cp314-cp314-macosx_14_0_arm64.whl 5.5 MB Oct 10, 2026	CPython 3.14	CPython 3.14	macOS 14.0+ ARM64	Details
numpy-2.5.4-cp314-cp314-macosx_11_0_arm64.whl 12.0 MB Oct 10, 2026	CPython 3.14	CPython 3.14	macOS 11.0+ ARM64	Details
numpy-2.5.4-cp314-cp314-macosx_10_15_x86_64.whl 17.0 MB Oct 10, 2026	CPython 3.14	CPython 3.14	macOS 10.15+ x86-64	Details
numpy-2.5.4-cp313-cp313-win_arm64.whl 10.5 MB Oct 10, 2026	CPython 3.13	CPython 3.13	Windows ARM64	Details
numpy-2.5.4-cp313-cp313-win_amd64.whl 12.6 MB Oct 10, 2026	CPython 3.13	CPython 3.13	Windows x86-64	Details
numpy-2.5.4-cp313-cp313-win32.whl 6.1 MB Oct 10, 2026	CPython 3.13	CPython 3.13	Windows x86-32	Details
numpy-2.5.4-cp313-cp313-musllinux_1_2_x86_64.whl 18.5 MB Oct 10, 2026	CPython 3.13	CPython 3.13	Linux musl 1.2+ x86-64	Details
numpy-2.5.4-cp313-cp313-musllinux_1_2_aarch64.whl 17.0 MB Oct 10, 2026	CPython 3.13	CPython 3.13	Linux musl 1.2+ ARM64	Details
numpy-2.5.4-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 16.7 MB Oct 10, 2026	CPython 3.13	CPython 3.13	Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details
numpy-2.5.4-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl 15.7 MB Oct 10, 2026	CPython 3.13	CPython 3.13	Linux glibc 2.28+ ARM64, Linux glibc 2.27+ ARM64	Details
numpy-2.5.4-cp313-cp313-macosx_14_0_x86_64.whl 6.8 MB Oct 10, 2026	CPython 3.13	CPython 3.13	macOS 14.0+ x86-64	Details
numpy-2.5.4-cp313-cp313-macosx_14_0_arm64.whl 5.4 MB Oct 10, 2026	CPython 3.13	CPython 3.13	macOS 14.0+ ARM64	Details
numpy-2.5.4-cp313-cp313-macosx_11_0_arm64.whl 12.0 MB Oct 10, 2026	CPython 3.13	CPython 3.13	macOS 11.0+ ARM64	Details
numpy-2.5.4-cp313-cp313-macosx_10_13_x86_64.whl 17.0 MB Oct 10, 2026	CPython 3.13	CPython 3.13	macOS 10.13+ x86-64	Details
numpy-2.5.4-cp312-cp312-win_arm64.whl 10.5 MB Oct 10, 2026	CPython 3.12	CPython 3.12	Windows ARM64	Details
numpy-2.5.4-cp312-cp312-win_amd64.whl 12.6 MB Oct 10, 2026	CPython 3.12	CPython 3.12	Windows x86-64	Details
numpy-2.5.4-cp312-cp312-win32.whl 6.1 MB Oct 10, 2026	CPython 3.12	CPython 3.12	Windows x86-32	Details
numpy-2.5.4-cp312-cp312-musllinux_1_2_x86_64.whl 18.5 MB Oct 10, 2026	CPython 3.12	CPython 3.12	Linux musl 1.2+ x86-64	Details
numpy-2.5.4-cp312-cp312-musllinux_1_2_aarch64.whl 17.0 MB Oct 10, 2026	CPython 3.12	CPython 3.12	Linux musl 1.2+ ARM64	Details
numpy-2.5.4-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 16.7 MB Oct 10, 2026	CPython 3.12	CPython 3.12	Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details
numpy-2.5.4-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl 15.7 MB Oct 10, 2026	CPython 3.12	CPython 3.12	Linux glibc 2.27+ ARM64, Linux glibc 2.28+ ARM64	Details
numpy-2.5.4-cp312-cp312-macosx_14_0_x86_64.whl 6.8 MB Oct 10, 2026	CPython 3.12	CPython 3.12	macOS 14.0+ x86-64	Details
numpy-2.5.4-cp312-cp312-macosx_14_0_arm64.whl 5.5 MB Oct 10, 2026	CPython 3.12	CPython 3.12	macOS 14.0+ ARM64	Details
numpy-2.5.4-cp312-cp312-macosx_11_0_arm64.whl 12.0 MB Oct 10, 2026	CPython 3.12	CPython 3.12	macOS 11.0+ ARM64	Details
numpy-2.5.4-cp312-cp312-macosx_10_13_x86_64.whl 17.0 MB Oct 10, 2026	CPython 3.12	CPython 3.12	macOS 10.13+ x86-64	Details

Total release size: 838.4 MB

Release files / numpy-2.5.4.tar.gz

Download URL	numpy-2.5.4.tar.gz
Size	20.9 MB
Tags	Source
SHA-256 checksum How to use checksums	`9a94cf751c9ad8ebaa835bcd3d40dacf8534ad086b88c38029b65123c7999d2a`
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Upload date	Oct 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.14`

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Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-release
Publishing commit: github.com/numpy/numpy-release/tree/a1cc2f4a9705f4171d480263fde93fa01ba816d6

Workflow

Publishing configuration: github.com/numpy/numpy-release/blob/a1cc2f4a9705f4171d480263fde93fa01ba816d6/.github/workflows/wheels.yml
Publishing logs: github.com/numpy/numpy-release/actions/runs/38074635821/attempts/1

Artifact

Subject: numpy-2.5.4.tar.gz
SHA-256 checksum: 9a94cf751c9ad8ebaa835bcd3d40dacf8534ad086b88c38029b65123c7999d2a Verifying attestations

Release files / numpy-2.5.4-cp315-cp315t-win_arm64.whl

Download URL	numpy-2.5.4-cp315-cp315t-win_arm64.whl
Size	10.9 MB
Tags	CPython 3.15 CPython 3.15 free-threading Windows ARM64
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Upload date	Oct 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.14`

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Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-release
Publishing commit: github.com/numpy/numpy-release/tree/a1cc2f4a9705f4171d480263fde93fa01ba816d6

Workflow

Publishing configuration: github.com/numpy/numpy-release/blob/a1cc2f4a9705f4171d480263fde93fa01ba816d6/.github/workflows/wheels.yml
Publishing logs: github.com/numpy/numpy-release/actions/runs/38074635821/attempts/1

Artifact

Subject: numpy-2.5.4-cp315-cp315t-win_arm64.whl
SHA-256 checksum: 7a14a461d9340f1b46b8648578aed9cdb8b3b018a8fac6c1dde2c9192a01a87f Verifying attestations

Release files / numpy-2.5.4-cp315-cp315t-win_amd64.whl

Download URL	numpy-2.5.4-cp315-cp315t-win_amd64.whl
Size	12.9 MB
Tags	CPython 3.15 CPython 3.15 free-threading Windows x86-64
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BLAKE2b-256 checksum How to use checksums	`98946482ddfa3d312490cb9358f375bf2ad56427dbea8769187158e94d653753`
Upload date	Oct 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.14`

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Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-release
Publishing commit: github.com/numpy/numpy-release/tree/a1cc2f4a9705f4171d480263fde93fa01ba816d6

Workflow

Publishing configuration: github.com/numpy/numpy-release/blob/a1cc2f4a9705f4171d480263fde93fa01ba816d6/.github/workflows/wheels.yml
Publishing logs: github.com/numpy/numpy-release/actions/runs/38074635821/attempts/1

Artifact

Subject: numpy-2.5.4-cp315-cp315t-win_amd64.whl
SHA-256 checksum: 38f47be9f74ab870d2633b5456ae519c43758a8d1fd05342f0ce4ecc034396ee Verifying attestations

Release files / numpy-2.5.4-cp315-cp315t-win32.whl

Download URL	numpy-2.5.4-cp315-cp315t-win32.whl
Size	6.3 MB
Tags	CPython 3.15 CPython 3.15 free-threading Windows x86-32
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Upload date	Oct 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.14`

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Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-release
Publishing commit: github.com/numpy/numpy-release/tree/a1cc2f4a9705f4171d480263fde93fa01ba816d6

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Publishing configuration: github.com/numpy/numpy-release/blob/a1cc2f4a9705f4171d480263fde93fa01ba816d6/.github/workflows/wheels.yml
Publishing logs: github.com/numpy/numpy-release/actions/runs/38074635821/attempts/1

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Subject: numpy-2.5.4-cp315-cp315t-win32.whl
SHA-256 checksum: ad62a416ddcf863bf44bba76fbf6b53366ab0692e294f51cae4b5fbe0d246788 Verifying attestations

Release files / numpy-2.5.4-cp315-cp315t-musllinux_1_2_x86_64.whl

Download URL	numpy-2.5.4-cp315-cp315t-musllinux_1_2_x86_64.whl
Size	18.5 MB
Tags	CPython 3.15 CPython 3.15 free-threading Linux musl 1.2+ x86-64
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Upload date	Oct 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.14`

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Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-release
Publishing commit: github.com/numpy/numpy-release/tree/a1cc2f4a9705f4171d480263fde93fa01ba816d6

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Publishing configuration: github.com/numpy/numpy-release/blob/a1cc2f4a9705f4171d480263fde93fa01ba816d6/.github/workflows/wheels.yml
Publishing logs: github.com/numpy/numpy-release/actions/runs/38074635821/attempts/1

Artifact

Subject: numpy-2.5.4-cp315-cp315t-musllinux_1_2_x86_64.whl
SHA-256 checksum: 0f02a46e49cfb6c73bdb7aea1c0d3461dbae9aba613542b65f657cd3d17b9fab Verifying attestations

Release files / numpy-2.5.4-cp315-cp315t-musllinux_1_2_aarch64.whl

Download URL	numpy-2.5.4-cp315-cp315t-musllinux_1_2_aarch64.whl
Size	17.1 MB
Tags	CPython 3.15 CPython 3.15 free-threading Linux musl 1.2+ ARM64
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Upload date	Oct 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.14`

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Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-release
Publishing commit: github.com/numpy/numpy-release/tree/a1cc2f4a9705f4171d480263fde93fa01ba816d6

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