The best Numerical Computation alternative to R (programming language) is Julia, which is both free and Open Source. If that doesn't suit you, our users have ranked more than 50 alternatives to R (programming language) and 11 are Numerical Computation Software so hopefully you can find a suitable replacement. Other interesting Numerical Computation Software alternatives to R (programming language) are GNU Octave, Mathematica, SciPy and Scilab.
Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an...
Looks like Python Runs like C
Octave is a computer program for performing numerical computations which is mostly compatible with MATLAB . It is part of the GNU Project. It is free software under the terms of the GNU General Public License.
Definitive technical computing system spanning machine learning and neural networks, data science, visualizations and much more.
It's a symbolic programming language, superior on calculations than R and Python.
SciPy is a collection of mathematical algorithms and convenience functions built on NumPy. It adds significant power to Python by providing the user with high-level commands and classes for manipulating and visualizing data.
Scilab is free and open source software for numerical computation providing a powerful computing environment for engineering and scientific applications. Scilab includes hundreds of mathematical functions.
Open source framework for numerical computations and advanced statistical analysis, featuring nonlinear curve fitting, ODE solving, 1D/2D publication-quality visualization, Fourier and wavelet transforms, intuitive syntax, and namespace-based code organization for research.
NumeRe uses a similar data management approach as R and supports load-time data type detection. Additionally, the plotting and fitting features are really powerful and don't require too much code.
PDL ("Perl Data Language") gives standard Perl the ability to compactly store and speedily manipulate the large N-dimensional data arrays which are the bread and butter of scientific computing.
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.
Designed for scientific computation, this language and editor provides low-cost abstraction and safety checks, focusing on matrix operations with syntax parity to scientific papers. It offers math rendering, real-time dimension checks, and intuitive user experience.
Doronix Math Toolbox is a numerical computing environment with programming language which can be used as alternative to MATLAB. It allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user functions, import and export CSV-files...
Reinteract is a system for interactive experimentation with Python. Reinteract worksheets contain Python code combined with the results of that code, formatted as text or graphical plots. Youu can go back and edit previously entered statements, and the results will update.
Germany
EU
United States
France
Japan
R is more concise. It has the powerful and versatile tidyverse dialect with functionality that is apparently impossible to reproduce in Julia without excessive typing.