macOS
brew install numpyprovider-native install command
brew / Rang 200
Prüfe Installationswege, Executables, Metadaten und Sicherheitshinweise für numpy in AI-Agent-Workflows.
Installation
brew install numpyprovider-native install command
Überblick
Package for scientific computing with Python
Verlauf
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.
Sicherheitslage
Für numpy wurde kein passendes lokales Secret-Handling-Manifest gefunden. Nucleus-Paketmetadaten bleiben hier veröffentlicht, damit künftige Abdeckung eine stabile Paket-URL hat.
Prüfe vor unbeaufsichtigter Agent-Nutzung, ob das Tool Klartext-Credentials liest, Remote-Zustand schreibt, Artefakte veröffentlicht oder Plugins ausführt.
Executables
| Befehl | Art | Sichtbarkeit | Hinweis |
|---|---|---|---|
f2py | Executable | indexiertes Executable | Aus dem lokalen Executable-Index erkannt. |
numpy-config | Executable | indexiertes Executable | Aus dem lokalen Executable-Index erkannt. |
Aktualität
Diese Signale trennen das Alter der Seitengenerierung, Aktivität des Paketmanagers und Upstream-Release-Vergleich. Versionsrückstand wird nur gemeldet, wenn eine Evidenz-URL und vergleichbare Versionen vorhanden sind.
Installationsmetadaten
| Paketschlüssel | brew:numpy |
|---|---|
| Version | 2.5.1 |
| Paketmanager | Homebrew |
| Homepage | https://www.numpy.org/ |
| Repository | https://github.com/numpy/numpy |
| Zuletzt aktualisiert | 2026-07-07T20:38:47Z |
| Pulse | updated |
| Bottle | nicht erfasst |
| Dienst | keiner deklariert |
Quellspur
Diese Seite wird von av-web aus dem privaten Paket-SQLite-Artefakt bereitgestellt, das scripts/generate-pkg-sqlite.py erstellt.
View the package source record on GitHub.