• SciPy

  • Referenced in 524 articles [sw06293]
  • library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy ... library is built to work with NumPy arrays, and provides many user-friendly and efficient ... install, and are free of charge. NumPy and SciPy are easy to use, but powerful...
  • Theano

  • Referenced in 76 articles [sw05894]
  • involving multi-dimensional arrays efficiently. Theano features tight integration with numpy, transparent...
  • h5py

  • Referenced in 7 articles [sw14817]
  • disk, as if they were real NumPy arrays. Thousands of datasets can be stored ... tagged however you want. H5py uses straightforward NumPy ... Python metaphors, like dictionary and NumPy array syntax. For example, you can iterate over datasets...
  • ASE

  • Referenced in 9 articles [sw30602]
  • syntax of Python combined with the NumPy array library make it possible to perform very...
  • F2PY

  • Referenced in 32 articles [sw04610]
  • dimensional Fortran and Numerical Python (i.e. C) arrays. In addition, F2PY can build the generated ... modules depend on NumPy package that provides fast multi-dimensional array language facility to Python...
  • petsc4py

  • Referenced in 33 articles [sw20514]
  • functionalities and uses NumPy to efficiently manage input and output of array data...
  • MDAnalysis

  • Referenced in 6 articles [sw17696]
  • trajectory data as fast and efficient NumPy arrays. It has been tested on systems...
  • Joblib

  • Referenced in 4 articles [sw28825]
  • data and has specific optimizations for numpy arrays. It is BSD-licensed...
  • SEP

  • Referenced in 2 articles [sw32978]
  • classes. These operate directly on in-memory arrays (no FITS files or configuration files ... Python wrapper operates on NumPy arrays with NumPy as its only dependency. See below...
  • mmappickle

  • Referenced in 1 article [sw29070]
  • module to store memory-mapped numpy array in pickle format. Mmappickle is a Python ... library which enables storing large numpy arrays into a file, along with the associated metadata ... such a way that the numpy array are memory-mapped (numpy.memmap) instead of copied into...
  • arctic

  • Referenced in 2 articles [sw26057]
  • numeric data. It supports Pandas, numpy arrays and pickled objects out-of-the-box, with...
  • NiBabel

  • Referenced in 2 articles [sw32331]
  • image data is made available via NumPy arrays...
  • Tinyarray

  • Referenced in 1 article [sw36682]
  • Tinyarrays are similar to NumPy arrays, but optimized for small sizes. Common operations on very ... small arrays are to 3-7 times faster than with NumPy (with NumPy ... useful if you need many small arrays of numbers, and cannot combine them into ... wise addition and matrix multiplication. Unlike Numpy arrays, Tinyarrays can be used as dictionary keys...
  • tifffile.py

  • Referenced in 1 article [sw26247]
  • package to (1) store numpy arrays in TIFF (Tagged Image File Format) files ... GeoTIFF files. Numpy arrays can be written to TIFF, BigTIFF, and ImageJ hyperstack compatible files...
  • PyVista

  • Referenced in 4 articles [sw28813]
  • interfacing with VTK through NumPy and direct array access. This package provides a Pythonic, well...
  • rowan

  • Referenced in 1 article [sw32682]
  • representing and operating on quaternions using NumPy arrays, with complete native support for core NumPy...
  • uproot

  • Referenced in 1 article [sw30648]
  • blocks in the ROOT file as Numpy arrays. It is important to note that uproot...
  • ugtm

  • Referenced in 1 article [sw27236]
  • output of these functions are numpy arrays. The package implements supplementary functions for GTM visualization...
  • iamxt

  • Referenced in 2 articles [sw20622]
  • implemented in Python using the NumPy library for array processing. It has state...
  • PyTrilinos

  • Referenced in 4 articles [sw06810]
  • high degree of compatibility with NumPy, the n-dimensional array module that provides contiguous, homogeneous...