macOS
brew install numpylocal Homebrew formula metadata
brew
Consultez les chemins d'installation, exécutables, métadonnées et notes de sécurité de numpy pour les workflows d'agents IA.
installation
brew install numpylocal Homebrew formula metadata
sudo apt install python-numpy-docDebian stable package indexes · python-numpy-doc · Source: deb.debian.org
sudo dnf install python3-numpyFedora Rawhide package metadata · python3-numpy · Source: dl.fedoraproject.org
sudo apt install python3-numpyUbuntu 24.04 LTS package indexes · python3-numpy · Source: archive.ubuntu.com
choco install numpyChocolatey community package catalog · numpy · Source: community.chocolatey.org
aperçu
Package for scientific computing with Python
historique
NumPy is the foundational array package for scientific computing in Python. It supplies the `ndarray`, vectorized operations, broadcasting, linear algebra and numerical routines, a C API, and the `f2py` command-line interface for building Python bindings to Fortran code.
The official NumPy about page says NumPy was created in 2005, building on Numeric and Numarray. The old SciPy history records the project as a reunion: Travis Oliphant wanted to bring the split Numeric/numarray community back to one array package, refactored Numeric to absorb numarray's features, and after naming discussion the multidimensional array project became NumPy.
NumPy became the array substrate for the Python scientific stack. The 2020 Nature paper 'Array programming with NumPy' describes NumPy as a 2005 unification of Numarray's features with Numeric's small-array performance and C API, and says that by 2020 it underpinned almost every Python library doing scientific or numerical computation, including SciPy, Matplotlib, pandas, scikit-learn, and scikit-image.
Users install NumPy directly for dense arrays, vectorized math, broadcasting, random sampling, FFTs, statistics, basic linear algebra, and data interchange with other Python libraries. Package maintainers also care about the compiled-code boundary: `f2py` is distributed with NumPy as both `numpy.f2py` and a standalone command-line tool, making old Fortran routines callable from Python, while the C API supports extensions and downstream projects.
For package ecosystems, NumPy is not just a library; it is an ABI, build, and compatibility gravity well. Python packages with native extensions often pin or test against NumPy versions, scientific Linux/macOS distributions ship optimized BLAS/LAPACK stacks underneath it, and Homebrew's formula page showed 333,990 installs over 365 days on July 1, 2026 despite Python users often installing it through pip or conda instead.
posture de sécurité
Aucun manifest local de gestion des secrets correspondant n'a été trouvé pour numpy. Les métadonnées de paquet Nucleus restent publiées ici afin que la couverture future dispose d'une URL stable.
Avant une utilisation sans surveillance par un agent, vérifiez si l'outil lit des identifiants en clair, écrit un état distant, publie des artefacts ou lance des plugins.
exécutables
| Commande | Type | Exposition | Note |
|---|---|---|---|
f2py | cli | exécutable global | |
numpy-config | cli | exécutable global |
fraîcheur
Ces signaux séparent l'âge de génération de la page, l'activité du gestionnaire de paquets et la comparaison avec les versions amont. Un retard de version n'est signalé que lorsqu'une URL de preuve et des versions comparables sont présentes.
métadonnées d'installation
| Clé du paquet | brew:numpy |
|---|---|
| Version | 2.5.1 |
| Gestionnaire de paquets | Homebrew |
| Page du gestionnaire de paquets | https://formulae.brew.sh/formula/numpy |
| Page d'accueil | https://www.numpy.org/ |
| Dépôt | https://github.com/numpy/numpy |
| Docs amont | https://numpy.org/doc/stable/index |
| Licence | BSD-3-Clause |
| Archive source | https://files.pythonhosted.org/packages/22/fd/89965aa4ac08c74998539fcbf24fa3540f3e15237fbeb6bcf9c908f4aade/numpy-2.5.1.tar.gz |
| Dernière mise à jour | 2026-07-07T20:38:47Z |
| Pulse | updated |
| Dépendances | openblas |
| Dépendances de compilation | gcc, meson, ninja, python@3.13, python@3.14 |
| Bouteille | disponible (sur arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux) |
| post-install Homebrew | non défini |
| Service | aucun déclaré |
| Précautions | To run `f2py`, you may need to `brew install python@3.14` |
faits du registre
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | numpy |
| Version Scheme | 0 |
| Revision | 0 |
| Head Version | HEAD |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
correspondances dans les bases sources
Les correspondances proviennent d’index externes de gestionnaires de paquets et restent séparées des liens de paquets Automic Vault locaux.
python-numpy-doc 1:2.2.4+ds-1
Python library for numerical computations (Documentation)
sudo apt install python-numpy-docpython3-numpy 1:2.2.4+ds-1
Python library for numerical computations (Python 3)
sudo apt install python3-numpypython3-numpy-dev 1:2.2.4+ds-1
Python library for numerical computations (Python 3 headers)
sudo apt install python3-numpy-devpython3-numpy 1:1.26.4+ds-6ubuntu1
Fast array facility to the Python language (Python 3)
sudo apt install python3-numpypython3-numpy 2.4.6-2.fc45
A fast multidimensional array facility for Python
sudo dnf install python3-numpypython3-numpy-doc 2.4.6-2.fc45
Documentation for numpy
sudo dnf install python3-numpy-docpython3-numpy-f2py 2.4.6-2.fc45
f2py for numpy
sudo dnf install python3-numpy-f2pynumpy
choco install numpypiste source
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View the package source record on GitHub.