numpy · Python Simple Repository Browser

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Author: Travis E. Oliphant et al.

Requires Python: >=3.10

Classifiers

Development Status

5 - Production/Stable

Intended Audience

Science/Research
Developers

License

OSI Approved :: BSD License

Programming Language

C
Python
Python :: 3
Python :: 3.10
Python :: 3.11
Python :: 3.12
Python :: 3.13
Python :: 3 :: Only
Python :: Implementation :: CPython

Topic

Software Development
Scientific/Engineering

Typing

Typed

Operating System

Microsoft :: Windows
POSIX
Unix
MacOS

NumPy is the fundamental package for scientific computing with Python.

Website: https://www.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://www.numpy.org/devdocs/dev/index.html
Bug reports: https://github.com/numpy/numpy/issues
Report a security vulnerability: https://tidelift.com/docs/security

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.

2.3.0rc1 May 25, 2025

2.2.0rc1 Nov 26, 2024

2.1.0rc1 Aug 11, 2024

1.10.0.post2 Oct 07, 2015

Wheel compatibility matrix

Platform	CPython 3.10	CPython 3.11	CPython 3.12	CPython 3.13	CPython (additional flags: t) 3.13	PyPy 3.10 (pp73)
macosx_10_13_x86_64
macosx_10_15_x86_64
macosx_10_9_x86_64
macosx_11_0_arm64
macosx_14_0_arm64
macosx_14_0_x86_64
manylinux2014_aarch64
manylinux2014_x86_64
manylinux_2_17_aarch64
manylinux_2_17_x86_64
musllinux_1_2_aarch64
musllinux_1_2_x86_64
win32
win_amd64