| Port details on branch 2023Q3 |
- py-numpy Fundamental package for array computing in Python
- 2.4.6_1,1 math
 =14       2.4.6_1,1Version of this port present on the latest quarterly branch. - Maintainer: python@FreeBSD.org
- Port Added: 2006-09-01 18:14:31
- Last Update: 2026-06-17 11:24:15
- Commit Hash: f171fd1
- People watching this port, also watch:: mpfr, p5-Net-SSLeay, libidn, libXdamage, glib
- Also Listed In: python
- License: BSD3CLAUSE
- WWW:
- https://www.numpy.org/
- Description:
- NumPy is the fundamental package for scientific computing with Python. It
contains among other things:
- 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
Besides its obvious scientific uses, NumPy can also be used as an efficient
multi-dimensional container of generic data. Arbitrary data-types can be
defined. This allows NumPy to seamlessly and speedily integrate with a wide
variety of databases.
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- Manual pages:
- FreshPorts has no man page information for this port.
- pkg-plist: as obtained via:
make generate-plist - There is no configure plist information for this port.
- USE_RC_SUBR (Service Scripts)
- no SUBR information found for this port
- Dependency lines:
-
- ${PYTHON_PKGNAMEPREFIX}numpy>0:math/py-numpy@${PY_FLAVOR}
- Conflicts:
- CONFLICTS_INSTALL:
- To install the port:
- cd /usr/ports/math/py-numpy/ && make install clean
- To add the package, run one of these commands:
- pkg install math/py-numpy
- pkg install py311-numpy
NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above.
NOTE: This is a Python port. Instead of py311-numpy listed in the above command, you can pick from the names under the Packages section.- PKGNAME: py311-numpy
- Package flavors (<flavor>: <package>)
- distinfo:
- TIMESTAMP = 1779296811
SHA256 (numpy-2.4/numpy-2.4.6.tar.gz) = f3a3570c4a2a16746ac2c31a7c7c7b0c186b95ce902e33db6f28094ed7387dda
SIZE (numpy-2.4/numpy-2.4.6.tar.gz) = 20735807
No package information for this port in our database- Sometimes this happens. Not all ports have packages. Perhaps there is a build error. Check the fallout link:
- Dependencies
- NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
- Build dependencies:
-
- py311-meson-python>=0.18.0,1 : devel/meson-python@py311
- gfortran14 : lang/gcc14
- pkgconf>=1.3.0_1 : devel/pkgconf
- py311-cython>=3.2.4 : lang/cython@py311
- python3.11 : lang/python311
- as : devel/binutils
- py311-build>=0 : devel/py-build@py311
- py311-installer>=0 : devel/py-installer@py311
- Test dependencies:
-
- py311-hypothesis>=5.3.0 : devel/py-hypothesis@py311
- py311-pytest>=7,1 : devel/py-pytest@py311
- python3.11 : lang/python311
- Runtime dependencies:
-
- gfortran14 : lang/gcc14
- python3.11 : lang/python311
- Library dependencies:
-
- libopenblas.so : math/openblas
- This port is required by:
- for Build
-
- archivers/py-bitshuffle
- archivers/py-blosc2
- astro/astrometry
- astro/py-astropy
- astro/py-astropy-healpix
- astro/py-astropy-helpers
- astro/py-fitsio
-
Deleted ports which required this port:
- for Run
-
- archivers/py-bitshuffle
- archivers/py-blosc2
- astro/astrometry
- astro/py-astlib
- astro/py-astroML
- astro/py-astropy
- astro/py-astropy-healpix
-
Deleted ports which required this port:
- * - deleted ports are only shown under the This port is required by section. It was harder to do for the Required section. Perhaps later...
Configuration Options:- ===> The following configuration options are available for py311-numpy-2.4.6_1,1:
DOCS=on: Build and/or install documentation
====> Options available for the single BLASLIB: you have to select exactly one of them
BLIS=off: BLIS BLAS-like implementation
FLEXIBLAS=off: FlexiBLAS BLAS implementation
NETLIB=off: BLAS implementation from Netlib
OPENBLAS=on: OpenBLAS BLAS implementation
====> Use CPU-specific optimizations: you have to select exactly one of them
MIN=on: Minimum recommended CPU features (x86-64-v2 microarchitecture)
NATIVE=off: Use native optimization (-march=native)
NONE=off: Dispatched optimizations only (not recommended except old CPUs)
===> Use 'make config' to modify these settings
- Options name:
- math_py-numpy
- USES:
- compiler:c++17-lang cpe fortran pkgconfig python:3.11+ shebangfix blaslapack:openblas
- FreshPorts was unable to extract/find any pkg message
- Master Sites:
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