• SciPy

  • Referenced in 492 articles [sw06293]
  • with Python. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional ... SciPy library is built to work with NumPy arrays, and provides many user-friendly ... install, and are free of charge. NumPy and SciPy are easy to use, but powerful...
  • NumPy

  • Referenced in 339 articles [sw06294]
  • NumPy is the fundamental package for scientific computing with Python...
  • Theano

  • Referenced in 74 articles [sw05894]
  • arrays efficiently. Theano features tight integration with numpy, transparent use of a GPU, efficient symbolic...
  • F2PY

  • Referenced in 31 articles [sw04610]
  • compilers. F2PY generated extension modules depend on NumPy package that provides fast multi-dimensional array...
  • petsc4py

  • Referenced in 28 articles [sw20514]
  • important subset of PETSc functionalities and uses NumPy to efficiently manage input and output...
  • SciTools

  • Referenced in 22 articles [sw17955]
  • other widely used packages such as NumPy, SciPy, ScientificPython, Matlotlib, Gnuplot, VisIt...
  • QuTiP

  • Referenced in 21 articles [sw06625]
  • QuTiP library depends on the excellent Numpy and Scipy numerical packages. In addition, graphical output...
  • Dask

  • Referenced in 17 articles [sw27404]
  • coordination with other community projects like Numpy, Pandas, and Scikit-Learn...
  • Autograd

  • Referenced in 16 articles [sw22077]
  • Autograd can automatically differentiate native Python and Numpy code. It can handle a large subset...
  • h5py

  • Referenced in 6 articles [sw14817]
  • data, and easily manipulate that data from NumPy. For example, you can slice into multi ... disk, as if they were real NumPy arrays. Thousands of datasets can be stored ... tagged however you want. H5py uses straightforward NumPy and Python metaphors, like dictionary and NumPy...
  • PyDSTool

  • Referenced in 11 articles [sw06718]
  • solving. It makes extensive use of the numpy and scipy libraries. PyDSTool supports symbolic math...
  • PyDEC

  • Referenced in 9 articles [sw06967]
  • facilities of numerical libraries such as NumPy and SciPy. The availability of such libraries makes...
  • PySB

  • Referenced in 9 articles [sw13437]
  • with standard scientific Python libraries such as NumPy, SciPy and SymPy enabling model simulation...
  • ASE

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

  • Referenced in 5 articles [sw17696]
  • code in C. It uses the powerful NumPy package to expose trajectory data as fast ... efficient NumPy arrays. It has been tested on systems of millions of particles. Many common...
  • PyTables

  • Referenced in 7 articles [sw22776]
  • library, using the Python language and the NumPy package. It features an object-oriented interface...
  • AlgoPy

  • Referenced in 6 articles [sw16107]
  • scientific computing in Python are based on NumPy and therefore make heavy use of numerical...
  • Imbalanced-learn

  • Referenced in 6 articles [sw21535]
  • methods. The proposed toolbox depends only on numpy, scipy, and scikit-learn and is distributed...
  • CuPy

  • Referenced in 4 articles [sw27021]
  • CuPy’s interface is highly compatible with NumPy; in most cases it can be used ... need to do is just replace numpy with cupy in your Python code. It supports...
  • Seglearn

  • Referenced in 5 articles [sw23641]
  • learn Related Projects. The package depends on numpy, scipy, and scikit-learn. Seglearn is distributed...