NumPy is described as 'The fundamental package for scientific computing in Python. It Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines for fast operations on arrays, including' and is an app in the development category. There are more than 50 alternatives to NumPy for a variety of platforms, including Windows, Linux, Mac, Web-based and Python apps. The best NumPy alternative is R (programming language), which is both free and Open Source. Other great apps like NumPy are MATLAB, SageMath, Spyder and SciPy.
ELKI: "Environment for Developing KDD-Applications Supported by Index-Structures" is a development framework for data mining algorithms written in Java. It includes a large variety of popular data mining algorithms, distance functions and index structures.
CuPy is an open-source array library for GPU-accelerated computing with Python. CuPy utilizes CUDA Toolkit libraries including cuBLAS, cuRAND, cuSOLVER, cuSPARSE, cuFFT, cuDNN and NCCL to make full use of the GPU architecture.
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